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
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to measure and find regular patterns in Web content. This issue is by no means easy to address and the idea is to use “ sentiment analysis ” or “ text mining .” The basic concept behind a sentiment analysis is to measure the polarity of opinion—positive, negative, or neutral—regarding a subject, a product, a service, etc. This is also known as opinion mining or opinion extraction, which helps extract, process, and analyze text in order to discover what people are expressing and thinking.