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Sentiment Analysis Using Solr

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Pradeep Pujari
Pradeep Pujari

Solr is an open source, widely used, popular IR machine. It can be used for simple sentiment analysis and sentiment retrieval tool. Its multi-language analyzers together with UIMA (Unstructured Information Management Architecture) framework can be extended for sentiment extraction. Each sentence passes through a series of pluggable annotators. Entity and its associated polarity are detected for each sentence. Polarity of each sentence is stored into Solr index. Persistent model files can be created from training data and accessed at run time.

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By: Pradeep Pujari
Working mostly in Search domain Search = IR + ML + NLP Who am I? Works for
Contributing to SolrSherlock - Open Source Project Who am I? http://solrsherlock.github.io/SolrSherlock/
What is Sentiment Analysis? A linguistic analysis technique that identifies The movie is great. The movie stars Mr. X The movie is horrible. opinion early in a piece of text.
Challenging Too easy Too hard Difficulty misclassification What is Sentiment Analysis?
Sentiment Analysis NLP Cognitive Science What is Sentiment Analysis?
Human can easily understand emotions. Can a machine be trained to do it? What is Sentiment Analysis?
Solr ? Http Request Servlet Admin Interface Update Servlet Standard Request Handler Custom Request Handler Response Writer Solr Core Lucene Analysis UIMA config Caching Update Handler
Linguistics module Stems, Lemmas and Synonyms multi language capability CJKAnalyzer, UIMA Analyzers UIMA integration UpdateProcessorChain Why Solr ?
Why Solr ? Extract domain specific entities and concepts Time and Cost Solr Set Up – 5 mins UIMA Annotators - 5 days Enrich text, write to dedicated field
Tagging entities in review text Usecase I wasn't really in the market for another tablet, but my girlfriend ended up getting one for me so she got me on this one. I would like to say that this tablet reminds me of the first Motorola Droid smartphone that came out several years back. The phone jam packed a ton of bells & whistles into its hardware and software to give a lot of bang for your buck. This is what it feels like amazon has done with the Kindle Fire 8.9. They have put a lot of advanced hardware and innovative software, so for the average user, specially someone who absorbs a lot of media, you get a lot for the price. But just because you get a lot for the price, doesn't mean it is without its flaws.
Usecase Consumer feedback about products Which product features are more relevant Polarity
Digital SLR with Full 1080p HD Video There are many preprogrammed scene modes that make this a very easy camera to use. The picture quality is beyond belief, and even better for the price. Price: Usecase
Why UIMA ? UIMA Framework manages components and data flow – No coding Deploy pipeline of analysis engines AEs wrap NLP algorithms Person Place organization Language Detection Aggregate analysis engine Sentence Annotator POS Annotator NER
Index Lucene Solr Update RequestProcessor Solr QParser Data Solr+UIMA UIMA AE
NLP+UIMA Use POS in query understanding boosting terms Synonym expansion Extract concepts/entities Faceting using entities Identify places in query and use spatial queries
Ideas: Sentiment Analysis App Identify Subjective Sentences from text Remove noisy sentences – Regex, conditional probability Graph min cut – LingPipe Subjectivity Lexicons Discard Facts and Objective Sentences
Subjectivity detector Subjective Objective Polarity Classifier Ideas: Sentiment Analysis App
Sentiments Intensity - SentiWordNet WordNet-Affect: WordNet + annotated concepts Ideas: Sentiment Analysis App Hybrid model with adding dictionary
Update Handler with processor chain Remove Duplicates processor Logging processor Custom Transform processor Index processor Update Processor Chain Text Analyzers Lucene Lucene Index Sentence Detection processor Sentiment Classifier Company Name Annotator Sentiment Score processor Product Reviews
http://lucene.apache.org/solr/ http://uima.apache.org/ http://alias-i.com/lingpipe/demos/tutorial/sentiment/read-me.html http://openie.cs.washington.edu/
Questions ?
Thank You Email: pradeepp@rocketmail.com

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