Information Extraction from Microblogs
نویسندگان
چکیده
The micro blogging sites contain the emotion and expression of the public in raw format. The data can be used to extract much meaningful information that could be used to develop technologies for future use. There are numerous micro blogging sites available these days that are used in different contexts. Some are used basically for conversation, some for image and video sharing, and some for formal and official purposes. Twitter is one of the most outspoken platform for sharing the emotions and comments on almost every topic starting from sport to entertainment, religion to politics and many more. The paper attempts to extract information from the database of the tweets collected from Twitter. The task is to develop methodologies for extracting tweets that are relevant to each topic with high precision. This paper presents the nita_nitmz team participation in FIRE 2016 Microblog track.
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