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Sentiment Analysis

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Short lecture on "Sentiment Analysis" at KSU, CCIS, Data mining course spring 14.

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Sentiment Analysis

  1. 1. A presentation by M. Almenea, M. Albidah
  2. 2. A presentation by M. Almenea, M. Albidah
  3. 3. A presentation by M. Almenea, M. Albidah  What’s the problem?
  4. 4. A presentation by M. Almenea, M. Albidah   What’s the problem? Why sentiment analysis?
  5. 5. A presentation by M. Almenea, M. Albidah    What’s the problem? Why sentiment analysis? Roadmap
  6. 6. A presentation by M. Almenea, M. Albidah     What’s the problem? Why sentiment analysis? Roadmap Challenges
  7. 7. A presentation by M. Almenea, M. Albidah
  8. 8. A presentation by M. Almenea, M. Albidah We need to use NLP to study emotions, opinions that are expressed in text.
  9. 9. A presentation by M. Almenea, M. Albidah We need to use NLP to study emotions, opinions that are expressed in text. I have fallenin lovewith Python. Example: This camera takes greatphoto, I really likeit.
  10. 10. A presentation by M. Almenea, M. Albidah
  11. 11. A presentation by M. Almenea, M. Albidah CompaniescanuseSAtojudgeoncustomeropinions. As a consequence, No surveys.
  12. 12. A presentation by M. Almenea, M. Albidah CompaniescanuseSAtojudgeoncustomeropinions. As a consequence, No surveys. Opinionretrieval:searchforopinions.
  13. 13. A presentation by M. Almenea, M. Albidah
  14. 14. System Design: 1-Get training data {x1,x2,…xm}. 2-String to vector. 3-Stemming and stopWords removal. 4-Attribute selection. 5. Run the system. A presentation by M. Almenea, M. Albidah
  15. 15. System Design: 1-Get training data {x1,x2,…xm}. 2-String to vector. 3-Stemming and stopWords removal. 4-Attribute selection. 5. Run the system. A presentation by M. Almenea, M. Albidah
  16. 16. A presentation by M. Almenea, M. Albidah
  17. 17. [1] Example from Prof. Ronen Feldman Example[1]: -honda accord and toyota camry are nice sedans. -honda accord and toyota camry are nice sedans, but hardlythe bestcar on the road.
  18. 18. A presentation by M. Almenea, M. Albidah 1-Named Entity Recognition. 2-Poor spelling, poor punctuation, poor grammar. 3-Language complexity. 4-For ArabicNLP: Arabiziis another problem. 5-Emotional Symbols -:D ;) etc.. .
  19. 19. A presentation by M. Almenea, M. Albidah http://nlp.stanford.edu:8080/sentiment/rntnDemo.html http://www.csc.ncsu.edu/faculty/healey/tweet_viz/tweet_app/
  20. 20. A presentation by M. Almenea, M. Albidah
  21. 21. A presentation by M. Almenea, M. Albidah •https://stackoverflow.com/questions/4806176/what-are-the-most-challenging-issues-in-sentiment-analysisopinion- mining •http://www.lct-master.org/files/MullenSentimentCourseSlides.pdf •http://ijcai13.org/files/tutorial_slides/tf4.pdf

Short lecture on "Sentiment Analysis" at KSU, CCIS, Data mining course spring 14.

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