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The study of sentiment analysis on Chinese comment texts

机译:中国评论文本的情感分析研究

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摘要

As known to all, a word's implication could differ in different domain, even the same word in the same domain may indicate diverse polarity with respect to different aspects. Due to the domain-dependent characteristic of some words, it is difficult to build a generally used sentiment lexicon. At the same time, there are a large amount of terms whose polarity is always definite. For example, “excellent” and “bad” respectively represent determinate polarity of “positive” and “negative”. In this paper, we construct a sentiment lexicon making use of both the context-dependent and the context-independent features. The traits of the semi-structured product reviews offered by users are also used in the construction process. At last, we put forward a method of combining the domain-specific lexicon and the existing sentiment wordlist such as “Hownet” for sentiment analysis.
机译:与所有域中的所有域中有不同的域,即使同一域中的相同词也可以指示不同方面的不同极性。由于某些单词的域依赖性特征,很难构建一般使用的情绪词典。与此同时,有大量术语极性总是明确。例如,“优秀”和“坏”分别表示确定“正”和“负”的极性。在本文中,我们构建了一种情绪词典,利用了上下文相关的和与上下文的功能。用户提供的半结构化产品审查的特质也用于施工过程。最后,我们提出了一种将域特定词汇和现有情感字列表组合的方法,例如“Hownet”进行情感分析。

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