文章基本信息

标题：Comparative Analysis of the Impact of Blogging and Micro-blogging on Market Performance
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作者：Devendra Tayal ; Satya Komaragiri
期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2009
卷号：1
期号：3
页码：176-182
出版社：Engg Journals Publications
摘要：The general perceptions about a product and the reputation of the company determine to a great extent how well the product sells. It is thus imperative that we make efforts to understand the public opinions and sentiments, as they can be a very good indicator of the product’s future sales performance. In this paper, we explore the two most common online media which have been used by the public to express such type of subjective content: Blogs and Micro-blogs. We perform a comparative analysis of the predictive power of the two media to know which of these formats can prove to be a more useful representative of sentiments to an autonomous stock price prediction system.
关键词：Blogging; Micro-blogging; Sentiment Analysis; Text Mining; Opinion Mining