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Identifying and Categorizing Opinions Expressed in Bangla Sentences using Deep Learning Technique
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 176 - Number 17 |
| Year of Publication: 2020 |
| Authors: Moqsadur Rahman, Summit Haque, Zillur Rahman Saurav |
10.5120/ijca2020920119
|
Moqsadur Rahman, Summit Haque, Zillur Rahman Saurav . Identifying and Categorizing Opinions Expressed in Bangla Sentences using Deep Learning Technique. International Journal of Computer Applications. 176, 17 ( Apr 2020), 13-17. DOI=10.5120/ijca2020920119
Abstract
Identifying and categorizing opinions in a sentence is the most prominent branch of natural language processing. It deals with the text classification to determine the intention of the author of the text. The intention can be for the presentation of happiness, sadness, patriotism, disgust, advice, etc. Most of the research work on opinion or sentiment analysis is in the English language. Bengali corpus is increasing day by day. A large number of online News portals publish their articles in Bengali language and a few News portals have the comment section that allows expressing the opinion of people. Here a research work has been done on Bengali Sports news comments published in different newspapers to train a deep learning model that will be able to categorize a comment according to its sentiment. Comments are collected and separated based on immanent sentiment. The deep learning algorithms that have been used are Convolutional Neural Network (CNN), Multilayer Perceptron, Long Short-Term Memory (LSTM).
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