Thai Comments Sentiment Analysis on Social Networks with Deep Learning Approach
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Publication Details
Author list: Piyaphakdeesakun C., Facundes N., Polvichai J.
Publisher: Hindawi
Publication year: 2019
ISBN: 9781728132716
ISSN: 0146-9428
eISSN: 1745-4557
Languages: English-Great Britain (EN-GB)
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Abstract
Sentiment analysis is a kind of a Natural Language Processing (NLP) tasks in text classification used to determine the sentiment polarity from any given document. In this research, two problems were solved. The first problem is the word ambiguous manipulation. Another task is an automatic sentiment classification. This work shows our process of Thai online document cleaning to attack the uncertainty in Thai text. This work also includes attempts to find the appropriate deep learning algorithm to classify the sentiment of Thai online document by comparing the performance among several approaches. The results show that a model using the bi-directional gated recurrent unit (GRU) with attention mechanism yields the best performance in sentiment classification. ฉ 2019 IEEE.
Keywords
natural language processing, Sentiment Analysis
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