https://scholars.lib.ntu.edu.tw/handle/123456789/413086
標題: | Implicit opinion analysis: Extraction and polarity labelling | 作者: | Huang H.-H. Wang J.-J. Chen H.-H. |
公開日期: | 2017 | 卷: | 68 | 期: | 9 | 起(迄)頁: | 2076-2087 | 來源出版物: | Journal of the Association for Information Science and Technology | 摘要: | Opinion words are crucial information for sentiment analysis. In some text, however, opinion words are absent or highly ambiguous. The resulting implicit opinions are more difficult to extract and label than explicit ones. In this paper, cutting-edge machine-learning approaches ¡V deep neural network and word-embedding ¡V are adopted for implicit opinion mining at the snippet and clause levels. Hotel reviews written in Chinese are collected and annotated as the experimental data set. Results show the convolutional neural network models not only outperform traditional support vector machine models, but also capture hidden knowledge within the raw text. The strength of word-embedding is also analyzed. ? 2017 ASIS&T |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/413086 | ISSN: | 23301635 | DOI: | 10.1002/asi.23835 |
顯示於: | 資訊工程學系 |
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