A DEEP LEARNING APPROACH FOR EXTRACTING POLARITY FROM CUSTOMERS’ REVIEWS

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Bavakhani Mitra; YARI ALIREZA; SHARIFI ARASH

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2019 | Issue:5

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Title

A DEEP LEARNING APPROACH FOR EXTRACTING POLARITY FROM CUSTOMERS’ REVIEWS

Author(s)

Bavakhani Mitra | YARI ALIREZA | SHARIFI ARASH

Keywords

OPINION MINING

POLARITY

MACHINE LEARNING

NEURAL NETWORK

DEEP LEARNING

Abstract

DUE TO THE EXPANSION OF SOCIAL NETWORKS AND MEDIA SUCH AS TWEETER, FACEBOOK, LINKEDIN, AND DIFFERENT WEBLOGS, AND THE GREAT INCREASE IN INFORMATION SHARING AND COMMENTS, WHICH TYPICALLY ARE IN THE FORM OF TEXT DATA, BIG ENOUGH TO BE RECOGNIZED AS BIG DATA., AND WITH RESPECT TO THE IMPORTANCE OF THESE DATA FOR THE ANALYSIS OF CUSTOMERS’ PRIORITIES, NEEDS AND THEIR ATTITUDES TOWARD DIFFERENT PRODUCTS, FINDING AND EXTRACTING DATA FROM THEIR COMMENTS, ARE THE PRIMARY GOALS OF THIS RESEARCH. TO SERVE THIS PURPOSE, THIS RESEARCH HAS USED DEEP LEARNING APPROACH, AND MULTILAYER NEURAL NETWORK METHODS IN ORDER TO EXTRACT THE POLARITY OF CUSTOMERS’ OPINIONS AND COMMENTS IN TWO DOMAINS OF PRODUCTS/SERVICES RANGING FROM RESTAURANT TO LAPTOP. THE FINDINGS OF THIS STUDY INDICATE THAT THE PROPOSED MODEL USING THE POTENCIES OF THE LONG SHORT-TERM-MEMORY NETWORKS, IS ABLE TO DETERMINE THE COMMENTS' POLARITY WITH 85 % AND 84. 62 % PRECISION FOR RESTAURANT AND LAPTOP DOMAINS RESPECTIVELY, IN SUCH A WAY THAT THE RESULTS ARE RELATIVELY MORE ACCURATE THAN THE RESULTS OF OTHER METHODS.

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APA: Copy

Bavakhani, Mitra, YARI, ALIREZA, & SHARIFI, ARASH. (2019). A DEEP LEARNING APPROACH FOR EXTRACTING POLARITY FROM CUSTOMERS’ REVIEWS. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949095/en

Vancouver: Copy

Bavakhani Mitra, YARI ALIREZA, SHARIFI ARASH. A DEEP LEARNING APPROACH FOR EXTRACTING POLARITY FROM CUSTOMERS’ REVIEWS. 2019. Available from: https://sid.ir/paper/949095/en

IEEE: Copy

Mitra Bavakhani, ALIREZA YARI, and ARASH SHARIFI, “A DEEP LEARNING APPROACH FOR EXTRACTING POLARITY FROM CUSTOMERS’ REVIEWS,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2019, [Online]. Available: https://sid.ir/paper/949095/en

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