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首页> 外文会议>International Conference on Computational Intelligence and Applications >A Word Vector Based Review Vector Method for Sentiment Analysis of Movie Reviews Exploring the Applicability of the Movie Reviews
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A Word Vector Based Review Vector Method for Sentiment Analysis of Movie Reviews Exploring the Applicability of the Movie Reviews

机译：基于词向量的评论向量情感分析方法探讨电影评论的适用性

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摘要

Based on word embedding method, this paper presents a word vector based review vector method for sentiment analysis of movie reviews. As a result, it is achieved that 86.18% classification accuracy using the method. Meanwhile, the method is applicable to multiple languages such as Chinese and English, and it is extensible for larger scale contents as well. What's more, the influence of word vector dimensions on the sentiment analysis accuracy and the method's applicability on sentences of varied lengths are also discussed in this paper. The experimental result proved that the word vector based review method for sentiment analysis is not only an efficient and simple way to analyze emotional expression, but also has extensibility and applicability for comments in varied lengths and multiple languages.
机译：基于词嵌入方法，提出了一种基于词向量的评论向量方法，用于电影评论的情感分析。结果，使用该方法实现了86.18％的分类精度。同时，该方法适用于多种语言，例如中文和英文，并且对于较大规模的内容也可扩展。此外，本文还讨论了词向量维数对情感分析准确性的影响以及该方法在不同长度句子中的适用性。实验结果证明，基于词向量的情感分析评论方法不仅是一种有效而简单的情感表达分析方法，而且具有可扩展性和适用性，可用于各种长度和多种语言的评论。

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