情绪分析训练数据 [英] Training data for sentiment analysis

问题描述

在哪里可以获得在公司范围内已被归类为正面/负面情绪的文档集?我想要一大堆文档，这些文档为公司提供评论，例如分析师和媒体对公司的评论.

Where can I get a corpus of documents that have already been classified as positive/negative for sentiment in the corporate domain? I want a large corpus of documents that provide reviews for companies, like reviews of companies provided by analysts and media.

我发现对产品和电影有评论的语料库.业务领域是否有语料库，包括与业务语言相匹配的公司评论?

I find corpora that have reviews of products and movies. Is there a corpus for the business domain including reviews of companies, that match the language of business?

推荐答案

http://www.cs.cornell.edu/home/llee/data/

http://mpqa.cs.pitt.edu/corpora/mpqa_corpus

您可以使用带有笑脸的Twitter，例如:

You can use twitter, with its smileys, like this: http://web.archive.org/web/20111119181304/http://deepthoughtinc.com/wp-content/uploads/2011/01/Twitter-as-a-Corpus-for-Sentiment-Analysis-and-Opinion-Mining.pdf

希望可以帮助您入门.如果您对否定，情感范围等特定子任务感兴趣，则文献中还有更多内容.

Hope that gets you started. There's more in the literature, if you're interested in specific subtasks like negation, sentiment scope, etc.

要专注于公司，您可以将一种方法与主题检测相结合，或者廉价地仅提及给定公司的很多内容.或者，您也可以通过Mechanical Turkers注释数据.

To get a focus on companies, you might pair a method with topic detection, or cheaply just a lot of mentions of a given company. Or you could get your data annotated by Mechanical Turkers.

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