SENTIMENT ANALYSIS BY MEASURING OPINIONS

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Jahed Zahra; Nasiri Jalal A.

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY, COMPUTER AND TELECOMMUNICATIONS
Year:2017 | Issue:3

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Title

SENTIMENT ANALYSIS BY MEASURING OPINIONS

Author(s)

Jahed Zahra | Nasiri Jalal A.

Keywords

SENTIMENT ANALYSIS

OPINION MINING

MOOD DETECTION

MACHINE LEARNING

NLP

Abstract

SENTIMENT ANALYSIS IS AN AREA OF STUDY WITHIN NATURAL LANGUAGE PROCESSING THAT IS CONCERNED WITH IDENTIFYING THE MOOD OR OPINION OF SUBJECTIVE ELEMENTS WITHIN A TEXT. THIS PAPER FOCUSES ON THE VARIOUS METHODS USED FOR CLASSIFYING A GIVEN PIECE OF NATURAL LANGUAGE TEXT ACCORDING TO THE OPINIONS EXPRESSED IN IT I.E. WHETHER THE GENERAL ATTITUDE IS NEGATIVE OR POSITIVE. WE ALSO DISCUSS THE TWO-STEP METHOD (ASPECT CLASSIFICATION FOLLOWED BY POLARITY CLASSIFICATION) THAT WE FOLLOWED ALONG WITH THE EXPERIMENTAL SETUP.

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APA: Copy

Jahed, Zahra, & Nasiri, Jalal A.. (2017). SENTIMENT ANALYSIS BY MEASURING OPINIONS. INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY, COMPUTER AND TELECOMMUNICATIONS. SID. https://sid.ir/paper/948192/en

Vancouver: Copy

Jahed Zahra, Nasiri Jalal A.. SENTIMENT ANALYSIS BY MEASURING OPINIONS. 2017. Available from: https://sid.ir/paper/948192/en

IEEE: Copy

Zahra Jahed, and Jalal A. Nasiri, “SENTIMENT ANALYSIS BY MEASURING OPINIONS,” presented at the INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY, COMPUTER AND TELECOMMUNICATIONS. 2017, [Online]. Available: https://sid.ir/paper/948192/en

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