SlideShare ist ein Scribd-Unternehmen logo
1 von 19
Effective Extraction of Thematically Grouped Key Terms From Text Maria Grineva  Ph.D., research scientist at  Institute for System Programming of RAS
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Key Terms Extraction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Approaches to Key Terms Extraction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Using Wikipedia as a Knowledge Base for Natural Language Processing ,[object Object],[object Object],[object Object],[object Object]
Basic Techniques of Our Method: Semantic Relatedness of Terms ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],Basic Techniques of Our Method: Semantic Relatedness of Terms ,[object Object],[object Object],[object Object],[object Object]
Basic Techniques of Our Method: Detecting Community Structure in Networks ,[object Object],[object Object],[object Object],[object Object]
Our Method ,[object Object],[object Object],[object Object],[object Object],[object Object]
Our Method:   Candidate  T erms  E xtraction ,[object Object],[object Object],[object Object],[object Object]
Our Method:   Word Sense Disambiguation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Our Method: Building Semantic Graph ,[object Object],Semantic graph built from a news article  "Apple to Make ITunes More Accessible For the Blind"
Our Method: Detecting Community Structure of the Semantic Graph ,[object Object],[object Object],[object Object]
Our Method:   Selecting Valuable Communities ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Advantages of the Method ,[object Object],[object Object],[object Object]
Experimental Evaluation: Creating Test Set ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Experimental Evaluation: Precision and Recall ,[object Object],[object Object],[object Object]
Experimental Evaluation: Revision of Precision and Recall ,[object Object],[object Object],[object Object],[object Object]
Your Questions

Weitere Àhnliche Inhalte

Was ist angesagt?

Cross breed Spam Categorization Method using Machine Learning Techniques
Cross breed Spam Categorization Method using Machine Learning TechniquesCross breed Spam Categorization Method using Machine Learning Techniques
Cross breed Spam Categorization Method using Machine Learning TechniquesIJSRED
 
Word sense disambiguation and lexical chains construction using wordnet
Word sense disambiguation and lexical chains construction using wordnetWord sense disambiguation and lexical chains construction using wordnet
Word sense disambiguation and lexical chains construction using wordnetUniversity Politehnica Bucharest
 
Harnessing Web Page Directories for Large-Scale Classification of Tweets
Harnessing Web Page Directories for Large-Scale Classification of TweetsHarnessing Web Page Directories for Large-Scale Classification of Tweets
Harnessing Web Page Directories for Large-Scale Classification of TweetsGabriela Agustini
 
Facilitating Dialogue - Using Semantic Web Technology for eParticipation
Facilitating Dialogue - Using Semantic Web Technology for eParticipationFacilitating Dialogue - Using Semantic Web Technology for eParticipation
Facilitating Dialogue - Using Semantic Web Technology for eParticipationIMC Technologies
 
Combination of Levenshtein Distance and Rabin-Karp to Improve the Accuracy of...
Combination of Levenshtein Distance and Rabin-Karp to Improve the Accuracy of...Combination of Levenshtein Distance and Rabin-Karp to Improve the Accuracy of...
Combination of Levenshtein Distance and Rabin-Karp to Improve the Accuracy of...Universitas Pembangunan Panca Budi
 
Exploring Session Context using Distributed Representations of Queries and Re...
Exploring Session Context using Distributed Representations of Queries and Re...Exploring Session Context using Distributed Representations of Queries and Re...
Exploring Session Context using Distributed Representations of Queries and Re...Bhaskar Mitra
 
Detecting Multiple Aliases in Social Media
Detecting Multiple Aliases in Social MediaDetecting Multiple Aliases in Social Media
Detecting Multiple Aliases in Social MediaAmendra Shrestha
 
Odsc 2018 detection_classification_of_fake_news_using_cnn_venkatraman
Odsc 2018 detection_classification_of_fake_news_using_cnn_venkatramanOdsc 2018 detection_classification_of_fake_news_using_cnn_venkatraman
Odsc 2018 detection_classification_of_fake_news_using_cnn_venkatramanvenkatramanJ4
 
I Link Search And Routing In Social Networks
I Link Search And Routing In Social NetworksI Link Search And Routing In Social Networks
I Link Search And Routing In Social Networksnkaf61
 
Political prediction analysis using text mining and deep learning
Political prediction analysis using text mining and deep learningPolitical prediction analysis using text mining and deep learning
Political prediction analysis using text mining and deep learningVishwambhar Deshpande
 
Tweet Segmentation and Its Application to Named Entity Recognition
Tweet Segmentation and Its Application to Named Entity RecognitionTweet Segmentation and Its Application to Named Entity Recognition
Tweet Segmentation and Its Application to Named Entity Recognition1crore projects
 
Neural Models for Document Ranking
Neural Models for Document RankingNeural Models for Document Ranking
Neural Models for Document RankingBhaskar Mitra
 
A rough set based hybrid method to text categorization
A rough set based hybrid method to text categorizationA rough set based hybrid method to text categorization
A rough set based hybrid method to text categorizationNinad Samel
 
Improved spambase dataset prediction using svm rbf kernel with adaptive boost
Improved spambase dataset prediction using svm rbf kernel with adaptive boostImproved spambase dataset prediction using svm rbf kernel with adaptive boost
Improved spambase dataset prediction using svm rbf kernel with adaptive boosteSAT Journals
 

Was ist angesagt? (16)

Cross breed Spam Categorization Method using Machine Learning Techniques
Cross breed Spam Categorization Method using Machine Learning TechniquesCross breed Spam Categorization Method using Machine Learning Techniques
Cross breed Spam Categorization Method using Machine Learning Techniques
 
Word sense disambiguation and lexical chains construction using wordnet
Word sense disambiguation and lexical chains construction using wordnetWord sense disambiguation and lexical chains construction using wordnet
Word sense disambiguation and lexical chains construction using wordnet
 
Harnessing Web Page Directories for Large-Scale Classification of Tweets
Harnessing Web Page Directories for Large-Scale Classification of TweetsHarnessing Web Page Directories for Large-Scale Classification of Tweets
Harnessing Web Page Directories for Large-Scale Classification of Tweets
 
Facilitating Dialogue - Using Semantic Web Technology for eParticipation
Facilitating Dialogue - Using Semantic Web Technology for eParticipationFacilitating Dialogue - Using Semantic Web Technology for eParticipation
Facilitating Dialogue - Using Semantic Web Technology for eParticipation
 
Does sizematter
Does sizematterDoes sizematter
Does sizematter
 
Combination of Levenshtein Distance and Rabin-Karp to Improve the Accuracy of...
Combination of Levenshtein Distance and Rabin-Karp to Improve the Accuracy of...Combination of Levenshtein Distance and Rabin-Karp to Improve the Accuracy of...
Combination of Levenshtein Distance and Rabin-Karp to Improve the Accuracy of...
 
Exploring Session Context using Distributed Representations of Queries and Re...
Exploring Session Context using Distributed Representations of Queries and Re...Exploring Session Context using Distributed Representations of Queries and Re...
Exploring Session Context using Distributed Representations of Queries and Re...
 
Detecting Multiple Aliases in Social Media
Detecting Multiple Aliases in Social MediaDetecting Multiple Aliases in Social Media
Detecting Multiple Aliases in Social Media
 
Odsc 2018 detection_classification_of_fake_news_using_cnn_venkatraman
Odsc 2018 detection_classification_of_fake_news_using_cnn_venkatramanOdsc 2018 detection_classification_of_fake_news_using_cnn_venkatraman
Odsc 2018 detection_classification_of_fake_news_using_cnn_venkatraman
 
I Link Search And Routing In Social Networks
I Link Search And Routing In Social NetworksI Link Search And Routing In Social Networks
I Link Search And Routing In Social Networks
 
Political prediction analysis using text mining and deep learning
Political prediction analysis using text mining and deep learningPolitical prediction analysis using text mining and deep learning
Political prediction analysis using text mining and deep learning
 
Tweet Segmentation and Its Application to Named Entity Recognition
Tweet Segmentation and Its Application to Named Entity RecognitionTweet Segmentation and Its Application to Named Entity Recognition
Tweet Segmentation and Its Application to Named Entity Recognition
 
Final Report(SuddhasatwaSatpathy)
Final Report(SuddhasatwaSatpathy)Final Report(SuddhasatwaSatpathy)
Final Report(SuddhasatwaSatpathy)
 
Neural Models for Document Ranking
Neural Models for Document RankingNeural Models for Document Ranking
Neural Models for Document Ranking
 
A rough set based hybrid method to text categorization
A rough set based hybrid method to text categorizationA rough set based hybrid method to text categorization
A rough set based hybrid method to text categorization
 
Improved spambase dataset prediction using svm rbf kernel with adaptive boost
Improved spambase dataset prediction using svm rbf kernel with adaptive boostImproved spambase dataset prediction using svm rbf kernel with adaptive boost
Improved spambase dataset prediction using svm rbf kernel with adaptive boost
 

Andere mochten auch

Waving not drowning
Waving not drowningWaving not drowning
Waving not drowningedsrpp
 
Topical keyphrase extraction from twitter
Topical keyphrase extraction from twitterTopical keyphrase extraction from twitter
Topical keyphrase extraction from twittermoresmile
 
Text Analysis and Semantic Search with GATE
Text Analysis and Semantic Search with GATEText Analysis and Semantic Search with GATE
Text Analysis and Semantic Search with GATEDiana Maynard
 
Domain-Specific Term Extraction for Concept Identification in Ontology Constr...
Domain-Specific Term Extraction for Concept Identification in Ontology Constr...Domain-Specific Term Extraction for Concept Identification in Ontology Constr...
Domain-Specific Term Extraction for Concept Identification in Ontology Constr...Innovation Quotient Pvt Ltd
 
Ontology learning from text
Ontology learning from textOntology learning from text
Ontology learning from textrobertstevens65
 
Corpus Bootstrapping with NLTK
Corpus Bootstrapping with NLTKCorpus Bootstrapping with NLTK
Corpus Bootstrapping with NLTKJacob Perkins
 
GATE : General Architecture for Text Engineering
GATE : General Architecture for Text EngineeringGATE : General Architecture for Text Engineering
GATE : General Architecture for Text EngineeringAhmed Magdy Ezzeldin, MSc.
 
End-to-End Memory Networks with Knowledge Carryover for Multi-Turn Spoken Lan...
End-to-End Memory Networks with Knowledge Carryover for Multi-Turn Spoken Lan...End-to-End Memory Networks with Knowledge Carryover for Multi-Turn Spoken Lan...
End-to-End Memory Networks with Knowledge Carryover for Multi-Turn Spoken Lan...Yun-Nung (Vivian) Chen
 
Automatic Key Term Extraction from Spoken Course Lectures
Automatic Key Term Extraction from Spoken Course LecturesAutomatic Key Term Extraction from Spoken Course Lectures
Automatic Key Term Extraction from Spoken Course LecturesYun-Nung (Vivian) Chen
 
from text and ontology : methodologies and tools - Text2Onto
from text and ontology : methodologies and tools - Text2Ontofrom text and ontology : methodologies and tools - Text2Onto
from text and ontology : methodologies and tools - Text2OntoRadhoueneRouached
 
Semantic Web and Machine Learning Tutorial
Semantic Web and Machine Learning TutorialSemantic Web and Machine Learning Tutorial
Semantic Web and Machine Learning Tutorialbutest
 
Kolawole John Adebayo, Luigi Di Caro and Guido Boella | A Supervised Keyphras...
Kolawole John Adebayo, Luigi Di Caro and Guido Boella | A Supervised Keyphras...Kolawole John Adebayo, Luigi Di Caro and Guido Boella | A Supervised Keyphras...
Kolawole John Adebayo, Luigi Di Caro and Guido Boella | A Supervised Keyphras...semanticsconference
 
GATE: a text analysis tool for social media
GATE: a text analysis tool for social mediaGATE: a text analysis tool for social media
GATE: a text analysis tool for social mediaDiana Maynard
 
Text analysis and Semantic Search with GATE
Text analysis and Semantic Search with GATEText analysis and Semantic Search with GATE
Text analysis and Semantic Search with GATEDiana Maynard
 
NLTK in 20 minutes
NLTK in 20 minutesNLTK in 20 minutes
NLTK in 20 minutesJacob Perkins
 
Social Network Analysis
Social Network AnalysisSocial Network Analysis
Social Network AnalysisGiorgos Cheliotis
 

Andere mochten auch (18)

Waving not drowning
Waving not drowningWaving not drowning
Waving not drowning
 
A Comparison of Unsuperviesed Bilingual Term Extraction Methods Using Phrase ...
A Comparison of Unsuperviesed Bilingual Term Extraction Methods Using Phrase ...A Comparison of Unsuperviesed Bilingual Term Extraction Methods Using Phrase ...
A Comparison of Unsuperviesed Bilingual Term Extraction Methods Using Phrase ...
 
Topical keyphrase extraction from twitter
Topical keyphrase extraction from twitterTopical keyphrase extraction from twitter
Topical keyphrase extraction from twitter
 
Text Analysis and Semantic Search with GATE
Text Analysis and Semantic Search with GATEText Analysis and Semantic Search with GATE
Text Analysis and Semantic Search with GATE
 
Domain-Specific Term Extraction for Concept Identification in Ontology Constr...
Domain-Specific Term Extraction for Concept Identification in Ontology Constr...Domain-Specific Term Extraction for Concept Identification in Ontology Constr...
Domain-Specific Term Extraction for Concept Identification in Ontology Constr...
 
Ontology learning from text
Ontology learning from textOntology learning from text
Ontology learning from text
 
Corpus Bootstrapping with NLTK
Corpus Bootstrapping with NLTKCorpus Bootstrapping with NLTK
Corpus Bootstrapping with NLTK
 
GATE : General Architecture for Text Engineering
GATE : General Architecture for Text EngineeringGATE : General Architecture for Text Engineering
GATE : General Architecture for Text Engineering
 
End-to-End Memory Networks with Knowledge Carryover for Multi-Turn Spoken Lan...
End-to-End Memory Networks with Knowledge Carryover for Multi-Turn Spoken Lan...End-to-End Memory Networks with Knowledge Carryover for Multi-Turn Spoken Lan...
End-to-End Memory Networks with Knowledge Carryover for Multi-Turn Spoken Lan...
 
Automatic Key Term Extraction from Spoken Course Lectures
Automatic Key Term Extraction from Spoken Course LecturesAutomatic Key Term Extraction from Spoken Course Lectures
Automatic Key Term Extraction from Spoken Course Lectures
 
Topic Outline
Topic OutlineTopic Outline
Topic Outline
 
from text and ontology : methodologies and tools - Text2Onto
from text and ontology : methodologies and tools - Text2Ontofrom text and ontology : methodologies and tools - Text2Onto
from text and ontology : methodologies and tools - Text2Onto
 
Semantic Web and Machine Learning Tutorial
Semantic Web and Machine Learning TutorialSemantic Web and Machine Learning Tutorial
Semantic Web and Machine Learning Tutorial
 
Kolawole John Adebayo, Luigi Di Caro and Guido Boella | A Supervised Keyphras...
Kolawole John Adebayo, Luigi Di Caro and Guido Boella | A Supervised Keyphras...Kolawole John Adebayo, Luigi Di Caro and Guido Boella | A Supervised Keyphras...
Kolawole John Adebayo, Luigi Di Caro and Guido Boella | A Supervised Keyphras...
 
GATE: a text analysis tool for social media
GATE: a text analysis tool for social mediaGATE: a text analysis tool for social media
GATE: a text analysis tool for social media
 
Text analysis and Semantic Search with GATE
Text analysis and Semantic Search with GATEText analysis and Semantic Search with GATE
Text analysis and Semantic Search with GATE
 
NLTK in 20 minutes
NLTK in 20 minutesNLTK in 20 minutes
NLTK in 20 minutes
 
Social Network Analysis
Social Network AnalysisSocial Network Analysis
Social Network Analysis
 

Ähnlich wie Effective Extraction of Thematically Grouped Key Terms From Text

Semantic Text Processing Powered by Wikipedia
Semantic Text Processing Powered by WikipediaSemantic Text Processing Powered by Wikipedia
Semantic Text Processing Powered by WikipediaMaxim Grinev
 
G04124041046
G04124041046G04124041046
G04124041046IOSR-JEN
 
By the Community & For the Community: A Deep Learning Approach to Assist Coll...
By the Community & For the Community: A Deep Learning Approach to Assist Coll...By the Community & For the Community: A Deep Learning Approach to Assist Coll...
By the Community & For the Community: A Deep Learning Approach to Assist Coll...Chunyang Chen
 
Negotiated Studies - A semantic social network based expert recommender system
Negotiated Studies - A semantic social network based expert recommender systemNegotiated Studies - A semantic social network based expert recommender system
Negotiated Studies - A semantic social network based expert recommender systemPremsankar Chakkingal
 
Exploiting Wikipedia and Twitter for Text Mining Applications
Exploiting Wikipedia and Twitter for Text Mining ApplicationsExploiting Wikipedia and Twitter for Text Mining Applications
Exploiting Wikipedia and Twitter for Text Mining ApplicationsIRJET Journal
 
Automatic and unsupervised topic discovery in social networks
Automatic and unsupervised topic discovery in social networksAutomatic and unsupervised topic discovery in social networks
Automatic and unsupervised topic discovery in social networksAntonio Moreno
 
SampleLiteratureReviewTemplate_IVBTechIISEM_MajorProject.pptx
SampleLiteratureReviewTemplate_IVBTechIISEM_MajorProject.pptxSampleLiteratureReviewTemplate_IVBTechIISEM_MajorProject.pptx
SampleLiteratureReviewTemplate_IVBTechIISEM_MajorProject.pptx20211a05p7
 
Improving Text Categorization with Semantic Knowledge in Wikipedia
Improving Text Categorization with Semantic Knowledge in WikipediaImproving Text Categorization with Semantic Knowledge in Wikipedia
Improving Text Categorization with Semantic Knowledge in Wikipediachjshan
 
Linkator: enriching web pages by automatically adding dereferenceable semanti...
Linkator: enriching web pages by automatically adding dereferenceable semanti...Linkator: enriching web pages by automatically adding dereferenceable semanti...
Linkator: enriching web pages by automatically adding dereferenceable semanti...Samur Araujo
 
SE@M 2010: Automatic Keywords Extraction - a Basis for Content Recommendation
SE@M 2010: Automatic Keywords Extraction - a Basis for Content RecommendationSE@M 2010: Automatic Keywords Extraction - a Basis for Content Recommendation
SE@M 2010: Automatic Keywords Extraction - a Basis for Content RecommendationIvana Bosnic
 
Semantic Relatedness of Web Resources by XESA - Philipp Scholl
Semantic Relatedness of Web Resources by XESA - Philipp SchollSemantic Relatedness of Web Resources by XESA - Philipp Scholl
Semantic Relatedness of Web Resources by XESA - Philipp SchollCROKODIl consortium
 
Open Corpus Adaptive Hypermedia
Open Corpus Adaptive HypermediaOpen Corpus Adaptive Hypermedia
Open Corpus Adaptive HypermediaPeter Brusilovsky
 
A framework for emotion mining from text in online social networks(final)
A framework for emotion mining from text in online social networks(final)A framework for emotion mining from text in online social networks(final)
A framework for emotion mining from text in online social networks(final)es712
 
Class Diagram Extraction from Textual Requirements Using NLP Techniques
Class Diagram Extraction from Textual Requirements Using NLP TechniquesClass Diagram Extraction from Textual Requirements Using NLP Techniques
Class Diagram Extraction from Textual Requirements Using NLP Techniquesiosrjce
 
Conor Hayes - Topics, tags and trends in the blogosphere
Conor Hayes - Topics, tags and trends in the blogosphereConor Hayes - Topics, tags and trends in the blogosphere
Conor Hayes - Topics, tags and trends in the blogosphereDERIGalway
 
Context Sensitive Relatedness Measure of Word Pairs
Context Sensitive Relatedness Measure of Word PairsContext Sensitive Relatedness Measure of Word Pairs
Context Sensitive Relatedness Measure of Word PairsIJCSIS Research Publications
 
Slawek Korea
Slawek KoreaSlawek Korea
Slawek KoreaSlawek
 
Twente ir-course 20-10-2010
Twente ir-course 20-10-2010Twente ir-course 20-10-2010
Twente ir-course 20-10-2010Arjen de Vries
 

Ähnlich wie Effective Extraction of Thematically Grouped Key Terms From Text (20)

Semantic Text Processing Powered by Wikipedia
Semantic Text Processing Powered by WikipediaSemantic Text Processing Powered by Wikipedia
Semantic Text Processing Powered by Wikipedia
 
G04124041046
G04124041046G04124041046
G04124041046
 
By the Community & For the Community: A Deep Learning Approach to Assist Coll...
By the Community & For the Community: A Deep Learning Approach to Assist Coll...By the Community & For the Community: A Deep Learning Approach to Assist Coll...
By the Community & For the Community: A Deep Learning Approach to Assist Coll...
 
Negotiated Studies - A semantic social network based expert recommender system
Negotiated Studies - A semantic social network based expert recommender systemNegotiated Studies - A semantic social network based expert recommender system
Negotiated Studies - A semantic social network based expert recommender system
 
Exploiting Wikipedia and Twitter for Text Mining Applications
Exploiting Wikipedia and Twitter for Text Mining ApplicationsExploiting Wikipedia and Twitter for Text Mining Applications
Exploiting Wikipedia and Twitter for Text Mining Applications
 
Automatic and unsupervised topic discovery in social networks
Automatic and unsupervised topic discovery in social networksAutomatic and unsupervised topic discovery in social networks
Automatic and unsupervised topic discovery in social networks
 
SampleLiteratureReviewTemplate_IVBTechIISEM_MajorProject.pptx
SampleLiteratureReviewTemplate_IVBTechIISEM_MajorProject.pptxSampleLiteratureReviewTemplate_IVBTechIISEM_MajorProject.pptx
SampleLiteratureReviewTemplate_IVBTechIISEM_MajorProject.pptx
 
Improving Text Categorization with Semantic Knowledge in Wikipedia
Improving Text Categorization with Semantic Knowledge in WikipediaImproving Text Categorization with Semantic Knowledge in Wikipedia
Improving Text Categorization with Semantic Knowledge in Wikipedia
 
Linkator: enriching web pages by automatically adding dereferenceable semanti...
Linkator: enriching web pages by automatically adding dereferenceable semanti...Linkator: enriching web pages by automatically adding dereferenceable semanti...
Linkator: enriching web pages by automatically adding dereferenceable semanti...
 
SE@M 2010: Automatic Keywords Extraction - a Basis for Content Recommendation
SE@M 2010: Automatic Keywords Extraction - a Basis for Content RecommendationSE@M 2010: Automatic Keywords Extraction - a Basis for Content Recommendation
SE@M 2010: Automatic Keywords Extraction - a Basis for Content Recommendation
 
Semantic Relatedness of Web Resources by XESA - Philipp Scholl
Semantic Relatedness of Web Resources by XESA - Philipp SchollSemantic Relatedness of Web Resources by XESA - Philipp Scholl
Semantic Relatedness of Web Resources by XESA - Philipp Scholl
 
Open Corpus Adaptive Hypermedia
Open Corpus Adaptive HypermediaOpen Corpus Adaptive Hypermedia
Open Corpus Adaptive Hypermedia
 
A framework for emotion mining from text in online social networks(final)
A framework for emotion mining from text in online social networks(final)A framework for emotion mining from text in online social networks(final)
A framework for emotion mining from text in online social networks(final)
 
Notes on mining social media updated
Notes on mining social media updatedNotes on mining social media updated
Notes on mining social media updated
 
Class Diagram Extraction from Textual Requirements Using NLP Techniques
Class Diagram Extraction from Textual Requirements Using NLP TechniquesClass Diagram Extraction from Textual Requirements Using NLP Techniques
Class Diagram Extraction from Textual Requirements Using NLP Techniques
 
D017232729
D017232729D017232729
D017232729
 
Conor Hayes - Topics, tags and trends in the blogosphere
Conor Hayes - Topics, tags and trends in the blogosphereConor Hayes - Topics, tags and trends in the blogosphere
Conor Hayes - Topics, tags and trends in the blogosphere
 
Context Sensitive Relatedness Measure of Word Pairs
Context Sensitive Relatedness Measure of Word PairsContext Sensitive Relatedness Measure of Word Pairs
Context Sensitive Relatedness Measure of Word Pairs
 
Slawek Korea
Slawek KoreaSlawek Korea
Slawek Korea
 
Twente ir-course 20-10-2010
Twente ir-course 20-10-2010Twente ir-course 20-10-2010
Twente ir-course 20-10-2010
 

Mehr von maria.grineva

Semantic Data Search and Analysis Using Web-based User-Generated Knowledge Bases
Semantic Data Search and Analysis Using Web-based User-Generated Knowledge BasesSemantic Data Search and Analysis Using Web-based User-Generated Knowledge Bases
Semantic Data Search and Analysis Using Web-based User-Generated Knowledge Basesmaria.grineva
 
Analytics for the Real-Time Web
Analytics for the Real-Time WebAnalytics for the Real-Time Web
Analytics for the Real-Time Webmaria.grineva
 
Analytics for the Real-Time Web
Analytics for the Real-Time WebAnalytics for the Real-Time Web
Analytics for the Real-Time Webmaria.grineva
 
Getting Value From Social Media
Getting Value From Social MediaGetting Value From Social Media
Getting Value From Social Mediamaria.grineva
 
Filtering Twitter
Filtering TwitterFiltering Twitter
Filtering Twittermaria.grineva
 
Architecture of Native XML Database Sedna
Architecture of Native XML Database SednaArchitecture of Native XML Database Sedna
Architecture of Native XML Database Sednamaria.grineva
 
XQuery Triggers in Native XML Database Sedna
XQuery Triggers in Native XML Database SednaXQuery Triggers in Native XML Database Sedna
XQuery Triggers in Native XML Database Sednamaria.grineva
 

Mehr von maria.grineva (7)

Semantic Data Search and Analysis Using Web-based User-Generated Knowledge Bases
Semantic Data Search and Analysis Using Web-based User-Generated Knowledge BasesSemantic Data Search and Analysis Using Web-based User-Generated Knowledge Bases
Semantic Data Search and Analysis Using Web-based User-Generated Knowledge Bases
 
Analytics for the Real-Time Web
Analytics for the Real-Time WebAnalytics for the Real-Time Web
Analytics for the Real-Time Web
 
Analytics for the Real-Time Web
Analytics for the Real-Time WebAnalytics for the Real-Time Web
Analytics for the Real-Time Web
 
Getting Value From Social Media
Getting Value From Social MediaGetting Value From Social Media
Getting Value From Social Media
 
Filtering Twitter
Filtering TwitterFiltering Twitter
Filtering Twitter
 
Architecture of Native XML Database Sedna
Architecture of Native XML Database SednaArchitecture of Native XML Database Sedna
Architecture of Native XML Database Sedna
 
XQuery Triggers in Native XML Database Sedna
XQuery Triggers in Native XML Database SednaXQuery Triggers in Native XML Database Sedna
XQuery Triggers in Native XML Database Sedna
 

KĂŒrzlich hochgeladen

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vĂĄzquez
 
Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024The Digital Insurer
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesBoston Institute of Analytics
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...Principled Technologies
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...apidays
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel AraĂșjo
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 

KĂŒrzlich hochgeladen (20)

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation Strategies
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 

Effective Extraction of Thematically Grouped Key Terms From Text

  • 1. Effective Extraction of Thematically Grouped Key Terms From Text Maria Grineva Ph.D., research scientist at Institute for System Programming of RAS
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.