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Opinion mining, sentiment analysis
IA161 Advanced NLP Course, Course Guarantee: Aleš Horák
Prepared by: Zuzana Nevěřilová
TODO til 31.5.2015
- choose particular papers for References below (that will serve as input for the lecture later on)
- prepare the Practical Session
State of the Art
References
LIU, Bing. Sentiment Analysis and Opinion Mining. Synthesis Lectures on Human Language Technologies. 2012, 5(1): 1-167. DOI: 10.2200/s00416ed1v01y201204hlt016. Draft version available at http://www.cs.uic.edu/~liub/FBS/SentimentAnalysis-and-OpinionMining.pdf
LIU, Bing. Sentiment Analysis Tutorial. AAAI-2011, August 8, 2011. Slides available at http://www.cs.uic.edu/~liub/FBS/Sentiment-Analysis-tutorial-AAAI-2011.pdf
References: http://www.cs.uic.edu/~liub/FBS/AAAI-2011-tutorial-references.pdf
Practical Session
Concrete description of work assignment for students for the second one-hour part of the lecture. The work will consist of tasks connected with practical implementations of algorithms connected with the current topic (probably not the state-of-the-art algorithms mentioned in the first part) and with real data. Students can test the algorithms, evaluate them and possibly try some short adaptations for various subtasks.
Students can also be required to generate some results of their work and hand them in to prove completing the tasks.
Test opinion mining on e-shop evaluation provided by customers and users of www.zbozi.cz.
Rule-based approach, basic machine learning approach.
Attachments (5)
- book-reviews.txt (4.0 KB) - added by 7 years ago.
- book-reviews.2.txt (4.0 KB) - added by 7 years ago.
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classify.py (2.9 KB) - added by 7 years ago.
reseni NLTK UNICODE problemu v NLTK 3.1 (tokenizace necelych slov)
- Aspect_Based_Sentiment_Analysis.ipynb (240.3 KB) - added by 13 months ago.
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Aspect_Based_Sentiment_Analysis.2.ipynb (240.3 KB) - added by 2 weeks ago.
2024
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