Sentiment analysis on Chinese movie review with distributed keyword vector representation

Chun Han Chu, Chen Ann Wang, Yung Chun Chang, Ying Wei Wu, Yu Lun Hsieh, Wen Lian Hsu

研究成果: 書貢獻/報告類型會議貢獻

4 引文 斯高帕斯(Scopus)

摘要

In the area of national language processing, performing machine learning technique on customer or movie review for sentiment analysis has been? frequently tried. While methods such as? support vector machine (SVM) were much favored in the 2000s, recently there is a steadily rising percentage of implementation with vector representation and artificial neural network. In this article we present an approach to implement word embedding method to conduct sentiment analysis on movie review from a renowned bulletin board system forum in Taiwan. After performing log-likelihood ratio (LLR) on the corpus and selecting the top 10000 most related keywords as representative vectors for different sentiments, we use these vectors as the sentiment classifier for the testing set. We achieved results that are not only comparable to traditional methods like Naïve Bayes and SVM, but also outperform Latent Dirichlet Allocation, TF-IDF and its variant. It also tops the original LLR with a substantial margin.
原文英語
主出版物標題TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面84-89
頁數6
ISBN(電子)9781509057320
DOIs
出版狀態已發佈 - 三月 16 2017
對外發佈
事件2016 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2016 - Hsinchu, 臺灣
持續時間: 十一月 25 2016十一月 27 2016

會議

會議2016 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2016
國家/地區臺灣
城市Hsinchu
期間11/25/1611/27/16

ASJC Scopus subject areas

  • 人工智慧
  • 電腦網路與通信
  • 電腦科學應用
  • 控制和優化
  • 資訊系統

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