In the first part of this blog, I mentioned that sentiment analysis measures the polarity of opinion—positive, negative, or neutral—regarding a subject, a product, a service, etc.
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According to Wikipedia, “social media is online content created for people using highly accessible and scalable publishing technologies.” These days, networking is very different than it was in the past. A lot of social media services like Twitter, Facebook, LinkedIn, personal blogs, wikis, podcasts, and other types of media content generate big volumes of data. But more importantly, people contribute to the creation of this data by chatting, expressing ideas, or making personal and business relations online. They also contribute to the way social media information is organized and published on the Web. Today, these massive volumes of data are the objects of study and analysis. In a sense, there is already an effort to measure the quantitative and qualitative aspects of this kind of data.
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