This add-on allows Google Spreadsheet users to enhance their textual spreadsheets content by automatically extracting named entities (such as places, persons, events or concepts) and linking them to Wikipedia by using Dandelion API.
4. turn text into data for analysis
why it’s useful
• Enterprise Business Intelligence/Data Mining, Competitive Intelligence
• E-Discovery, Records Management
• National Security/Intelligence
• Scientific discovery, especially Life Sciences
• Sentiment Analysis Tools, Listening Platforms
• Natural Language/Semantic Toolkit or Service
• Publishing
• Automated ad placement
• Search/Information Access
• Social media monitoring
5. #textanalytics #textmining#gdrive
turn text into data for analysis
usually you have to be a developer,
but now you can do a lot of things
directly inside Google
Spreadsheet, thanks to Text Mining add-on
bit.ly/TextMiningAddonGoogleDrive
6. but why is it useful?
#textanalytics #textmining#gdrive
7. †
turn text into data for analysis
infographics, tag clouds, mind maps,
graphs, charts…
9. extract useful informations from a news article published on
http://edition.cnn.com/2014/09/10/world/rosetta-philae-landing-site/index.html?hpt=hp_t3
#textanalytics #textmining#gdrive
10. copy & paste
this text on
a Google
Sheet…
#textanalytics #textmining#gdrive
11. this is just text: we call it “unstructured data”
#textanalytics #textmining#gdrive
12. if we select the cell, launch the Text Mining add-on,
and click “Analyze text”…
13. … we are performing
named entity extraction using
Dandelion API,
inside the Google Sheet
#textanalytics #textmining#gdrive
14. now, we find something else:
a new sheet titled “Analysis” with
a lot of useful stuff…
#textanalytics #textmining#gdrive
15. TEXT -> to keep control of the the text analysed
HIGHLIGHT -> the label of an “entity”, taken from the original text
CONFIDENCE -> a numeric estimation of the quality of the annotation
ENTITY NAME -> the conceptual entity as it appears in our system
16. #textanalytics #textmining#gdrive
WIKIPEDIA URL -> the link to the Wikipedia page of the entity
TYPES -> the types associated with the entity, extracted from Wikipedia
CATEGORIES -> the types associated with the entity, extracted from
Wikipedia
17. so why is it useful?
before: it’s only text
now it’s contextual data
18. in other words:
the text “67P/Churyumov-Gerasimenko”
has now some structured details, like
“categories”: a sort of tag set very useful:
#textanalytics #textmining#gdrive
19. you can do a lot of things with
Text Mining add-on for Google Sheets
build a tag cloud using concepts labels
( typed concept )
extract persons cited in a lot of content
build some graph/chart using types found
inside the content
extract some data from a lot of tweets
(useful for Social Media consultants and
not so many data)
find useful keywords to enrich your
content (a better SEO?)
enrich your content with useful links to
contextual Wikipedia pages
#textanalytics #textmining#gdrive
20. and all of this without programming :)
and inside your own Google Spreadsheet!
democratizing text analytics!
#textanalytics #textmining#gdrive
21. and if you are a smart guy, or
a data journalist for example,
you can do something better…
#textanalytics #textmining#gdrive
22. use your Google SpreadSheet as a little database,
to build smart interactive web pages
Google
Spreadsheet
unstructured
data
Google
Spreadsheet
structured
data
+ Dandelion API
23. and don’t forget: you are using some data taken from
the Linked Open Data Cloud without knowing anything
about it!
24. How-to install Text Mining add-on for
Google Sheets
#textanalytics #textmining#gdrive
25. inside a Google Sheet,
looking for “Text Mining” inside the store…
#textanalytics #textmining#gdrive
26. or using this link at the bottom…
bit.ly/TextMiningAddonGoogleDrive
27. there is a tutorial on dandelion.eu to setup it
https://dandelion.eu/docs/api/integrations/gdrive
28. Unleash your creativity,
give it a try!
@dandelionapi
#textanalytics #textmining#gdrive
bit.ly/TextMiningAddonGoogleDrive