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Twitter, the social network service, is a rich source of information on customer response to a live event such as a television show. In this paper we present a case study where we analyzed publicly available tweets that were posted when a popular TV show was aired for the first time in a season. We use standard text-mining techniques to answer questions such as, what were the main themes during the...
Recently, a huge wave of social media has generated significant impact in people's perceptions about technological domains. They are captured in several blogs/forums, where the themes relate to products of several companies. One of the companies can be interested to track them as resources for customer perceptions and detect user sentiments. The keyword-based approaches for identifying such themes...
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