![]() Existing work on event detection shows that people have partially represented their attributes. In this paper, a novel technique is proposed for event extraction from the email text, where the definition that term "event" engages something as an occurrence or happening with specific attributes, such as at a particular location, date and time, involving one or more actors and participants. Moreover, emails have a very complex and diverse unbounded layout in all formats of text structures. Among the social text streams: email is one of the most broadly used methods for the official announcements. Most recently, with the advanced technological facilities, the automated techniques for extraction of event information has got significantly more importance and stands as one of the most desirable tasks in the social text stream processing.
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