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Like It or Not: A Survey of Twitter Sentiment Analysis Methods

机译：喜不喜欢：Twitter情绪分析方法调查

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摘要

Sentiment analysis in Twitter is a field that has recently attracted research interest. Twitter is one of the most popular microblog platforms on which users can publish their thoughts and opinions. Sentiment analysis in Twitter tackles the problem of analyzing the tweets in terms of the opinion they express. This survey provides an overview of the topic by investigating and briefly describing the algorithms that have been proposed for sentiment analysis in Twitter. The presented studies are categorized according to the approach they follow. In addition, we discuss fields related to sentiment analysis in Twitter including Twitter opinion retrieval, tracking sentiments over time, irony detection, emotion detection, and tweet sentiment quantification, tasks that have recently attracted increasing attention. Resources that have been used in the Twitter sentiment analysis literature are also briefly presented. The main contributions of this survey include the presentation of the proposed approaches for sentiment analysis in Twitter, their categorization according to the technique they use, and the discussion of recent research trends of the topic and its related fields.
机译：Twitter中的情感分析是一个最近引起了研究兴趣的领域。 Twitter是最受欢迎的微博平台之一，用户可以在其上发表自己的想法和见解。 Twitter中的情感分析解决了根据推文表达的观点来分析推文的问题。这项调查通过调查和简要描述Twitter中用于情感分析的算法，提供了该主题的概述。提出的研究根据其遵循的方法进行分类。此外，我们讨论了与Twitter中情绪分析相关的领域，包括Twitter观点检索，随着时间的推移跟踪情绪，反讽检测，情绪检测和推特情绪量化，这些任务最近引起了越来越多的关注。还简要介绍了Twitter情绪分析文献中使用的资源。这项调查的主要贡献包括在Twitter中提出建议的情感分析方法，根据其使用的技术对它们进行分类以及讨论该主题及其相关领域的最新研究趋势。

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