Convolutional Neural Networks for Sentiment Analysis in Persian Social Media

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Rohanian M.; SALEHI M.; DARZI A.; RANJBAR V.

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Journal: NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR Year:2020 | Volume:18 | Issue:1 Page(s): 49-66

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Title

Convolutional Neural Networks for Sentiment Analysis in Persian Social Media

Author(s)

Rohanian M. | SALEHI M. | DARZI A. | RANJBAR V. | Issue Writer Certificate

Keywords

Sentiment analysisQ1

social mediaQ1

convolutional neural networkQ1

sentiment intensityQ1

short textsQ1

Abstract

With the social media engagement on the rise, the resulting data can be used as a rich resource for analyzing and understanding different phenomena around us. A Sentiment analysis system employs these data to find the attitude of social media users towards certain entities in a given document. In this paper we propose a Sentiment analysis method for Persian text using convolutional neural network (CNN), a feedforward Artificial Neural Network, that categorize sentences into two and five classes (considering their intensity) by applying a layer of convolution over input data through different filters. We evaluated the method on three different datasets of Persian social media texts using Area under Curve metric. The final results show the advantage of using CNN over earlier attempts at developing traditional machine learning methods for Persian texts sentiment classification especially for short texts.

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APA: Copy

Rohanian, M., SALEHI, M., DARZI, A., & RANJBAR, V.. (2020). Convolutional Neural Networks for Sentiment Analysis in Persian Social Media. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, 18(1 ), 49-66. SID. https://sid.ir/paper/372288/en

Vancouver: Copy

Rohanian M., SALEHI M., DARZI A., RANJBAR V.. Convolutional Neural Networks for Sentiment Analysis in Persian Social Media. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR[Internet]. 2020;18(1 ):49-66. Available from: https://sid.ir/paper/372288/en

IEEE: Copy

M. Rohanian, M. SALEHI, A. DARZI, and V. RANJBAR, “Convolutional Neural Networks for Sentiment Analysis in Persian Social Media,” NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, vol. 18, no. 1 , pp. 49–66, 2020, [Online]. Available: https://sid.ir/paper/372288/en

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