Sentiment Polarity Detection in Bengali Tweets Using Deep Convolutional Neural Networks
| Autor: | Kamal Sarkar |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
convolutional networks
Polarity (physics) Computer science Science 030508 substance abuse computer.software_genre Convolutional neural network indian languages 03 medical and health sciences Deep belief network Artificial Intelligence business.industry Deep learning deep belief networks 05 social sciences Sentiment analysis deep learning QA75.5-76.95 language.human_language Bengali sentiment analysis Electronic computers. Computer science opinion mining language Artificial intelligence 0509 other social sciences 050904 information & library sciences 0305 other medical science business computer Software Natural language processing Information Systems |
| Zdroj: | Journal of Intelligent Systems, Vol 28, Iss 3, Pp 377-386 (2019) |
| ISSN: | 2191-026X 0334-1860 |
| DOI: | 10.1515/jisys-2017-0418 |
| Popis: | Sentiment polarity detection is one of the most popular sentiment analysis tasks. Sentiment polarity detection in tweets is a more difficult task than sentiment polarity detection in review documents, because tweets are relatively short and they contain limited contextual information. Although the amount of blog posts, tweets and comments in Indian languages is rapidly increasing on the web, research on sentiment analysis in Indian languages is at the early stage. In this paper, we present an approach that classifies the sentiment polarity of Bengali tweets using deep neural networks which consist of one convolutional layer, one hidden layer and one output layer, which is a soft-max layer. Our proposed approach has been tested on the Bengali tweet dataset released for Sentiment Analysis in Indian Languages contest 2015. We have compared the performance of our proposed convolutional neural networks (CNN)-based model with a sentiment polarity detection model that uses deep belief networks (DBN). Our experiments reveal that the performance of our proposed CNN-based system is better than our implemented DBN-based system and some existing Bengali sentiment polarity detection systems. |
| Databáze: | OpenAIRE |
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