Using a Contextual Entropy Model to Expand Emotion Words and their Intensity for Sentiment Classification of Stock News
碩士 === 元智大學 === 資訊管理學系 === 100 === Sentiment classification of stock news is a task of identifying positive and negative stock new articles, which has been an emerging technique for stock trend prediction because it can facilitate investor’s decision making in the stock market. In this paper, we pro...
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| Format: | Others |
| Language: | en_US |
| Online Access: | http://ndltd.ncl.edu.tw/handle/87559532699559250810 |