Opinion Mining: Difference between revisions
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''Sentiment analysis (also known as opinion mining) refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials.'' from http://en.wikipedia.org/wiki/Sentiment_analysis |
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* Batch opinion mining |
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* Realtime opinion mining : Stream processing of RSS feeds, Facebook posts, Twitter tweets ([[Event Stream Processing]]) |
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=API= |
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==[[Node.js]]== |
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* https://github.com/thisandagain/sentiment/blob/master/README.md (utilisé par [[Node-RED]]. |
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=Exemples= |
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* http://www.socialmention.com/search?q=fablab&t=all&btnG=Search |
* http://www.socialmention.com/search?q=fablab&t=all&btnG=Search |
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* http://www.csc.ncsu.edu/faculty/healey/tweet_viz/tweet_app/ |
* http://www.csc.ncsu.edu/faculty/healey/tweet_viz/tweet_app/ |
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=Livres= |
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* Dominique Boullier et Audrey Lohard, Opinion mining et Sentiment analysis, Méthodes et outils, http://books.openedition.org/oep/198?lang=fr |
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=Projets @ AIR= |
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[[Image:Node-RED03.png|300px|right|thumb|Node RED with Twitter ...]] |
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* [[Node-RED]] sentiment component |
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* [[Analyse d’opinion « temps réel » à partir de Twitter]] |
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Latest revision as of 11:01, 6 November 2014
Sentiment analysis (also known as opinion mining) refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. from http://en.wikipedia.org/wiki/Sentiment_analysis
- Batch opinion mining
- Realtime opinion mining : Stream processing of RSS feeds, Facebook posts, Twitter tweets (Event Stream Processing)
API
Node.js
Exemples
- http://www.socialmention.com/search?q=fablab&t=all&btnG=Search
- http://www.csc.ncsu.edu/faculty/healey/tweet_viz/tweet_app/
Livres
- Dominique Boullier et Audrey Lohard, Opinion mining et Sentiment analysis, Méthodes et outils, http://books.openedition.org/oep/198?lang=fr
Projets @ AIR
- Node-RED sentiment component
- Analyse d’opinion « temps réel » à partir de Twitter
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