中文微博情感分析研究综述_微博情感博主名字_微博情感分析工具(7)

Using words that occur nearby in the same document

Using WordNet synonyms and antonyms

Use seeds and semi-supervised learning to induce lexicons

5）Other Sentiment Tasks

Find all highly frequent phrases across reviews (“fish tacos”)

Filter by rules like “occurs right after sentiment word”：“…greatfish tacos” means fish tacos a likely aspect

Blair-Goldensohn et al.提出了一套通用的aspect-based summarization models，如下图所示：

详细见论文：S. Blair-Goldensohn, K. Hannan, R. McDonald, T. Neylon, G. Reis, and J. Reynar. 2008.Building a Sentiment Summarizer for Local Service Reviews. WWW Workshop

另外，其他的一些情感分析的相关任务有：

Emotion:个人情绪

Detecting annoyed callers to dialogue system

Detecting confused/frustrated versus confident students

Mood: 个人情绪

Finding traumatized or depressed writers

Interpersonal stances: 人际关系中的谈话方式

Detection of flirtation or friendliness in conversations

Personality traits: 性

Detection of extroverts

三、参考资料

Lecture Slides：Sentiment Analysis

Sentiment tutorial

赵妍研，文本情感分析综述

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