Constructing sentiment sensitive vectors for word polarity classification

Chun Han Chu, Apoorva Honnegowda Roopa, Yung Chun Chang, Wen Lian Hsu

研究成果: 書貢獻/報告類型會議貢獻

1 引文 斯高帕斯(Scopus)

摘要

Sentiment classification has been an essential part of opinion mining and sentiment analysis. This topic has been applied to real world scenarios such as mining customer reviews on merchandise sold online and film reviews of movies. Therefore, we aimed to gain insight into sentiment word classification, as it could serve as the foundation for larger scale sentiment analyses on corpuses and documents. In this paper, we focus on word polarity classification, which could be extended to perform classification of sentences and paragraphs. We enhanced our previous work on gloss vector and expanded it with a more concise method to generate the vectors. Additionally, we used more sources to validate the similarities of the candidates with two vectors, each representing the positive and negative sentiment polarity respectively by importing groups of words that express that polarity. Experiment results demonstrated that our method is effective, while producing better accuracies than the previous attempt on similar subjects.
原文英語
主出版物標題TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence
發行者Institute of Electrical and Electronics Engineers Inc.
頁面252-259
頁數8
ISBN(電子)9781467396066
DOIs
出版狀態已發佈 - 二月 12 2016
對外發佈Yes
事件Conference on Technologies and Applications of Artificial Intelligence, TAAI 2015 - Tainan, 臺灣
持續時間: 十一月 20 2015十一月 22 2015

會議

會議Conference on Technologies and Applications of Artificial Intelligence, TAAI 2015
國家臺灣
城市Tainan
期間11/20/1511/22/15

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications

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    Chu, C. H., Roopa, A. H., Chang, Y. C., & Hsu, W. L. (2016). Constructing sentiment sensitive vectors for word polarity classification. 於 TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence (頁 252-259). [7407058] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TAAI.2015.7407058