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IDENTIFICATION OF CERTAIN EMOTIONS IN TEXT (NATURAL LANGUAGE PROCESSING)

CS365: ARTIFICIAL INTELLIGENCE. IDENTIFICATION OF CERTAIN EMOTIONS IN TEXT (NATURAL LANGUAGE PROCESSING). Mentor: Prof. Amitabha Mukherjee Pranjal Singh 10511 spranjal@iitk.ac.in Divyanshu Bhartiya 10250 divbhar@iitk.ac.in. Importance + scope. METHODOLOGY: OVERVIEW.

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IDENTIFICATION OF CERTAIN EMOTIONS IN TEXT (NATURAL LANGUAGE PROCESSING)

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  1. CS365: ARTIFICIAL INTELLIGENCE IDENTIFICATION OF CERTAIN EMOTIONS IN TEXT(NATURAL LANGUAGE PROCESSING) Mentor: Prof. AmitabhaMukherjee Pranjal Singh 10511 spranjal@iitk.ac.in DivyanshuBhartiya 10250 divbhar@iitk.ac.in

  2. Importance + scope

  3. METHODOLOGY: OVERVIEW

  4. Supervised learning Sentiment Analysis Result: “He might have lung cancer . It s just a rumor ... but it makes sense . He is very depressed and that s just the beginning of things” PCFG parser result : <type> negative </type> <score> -0.357542 </score

  5. UNSupervised learning “He might have lung cancer . It s just a rumor ... but it makes sense . He is very depressed and that s just the beginning of things”

  6. PLSA • PLSA aims to discover something about the meaning behind the words; about the topics in the documents

  7. Sample RESULT:

  8. Difference in our approach • Use of PLSA instead of LSA which “Carlos Strapparava” and “Rada Mihalcea” have done in their work. • Instead of annotated corpus which is used by “Carlos Strapparava” and “Rada Mihalcea” for applying LSA we are updating the term document matrix for later use of PLSA. • Removal of certain words that don’t contribute to emotions.

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