Analysing the Role of Key Term Inflections in Knowledge Discovery on Twitter
نویسندگان
چکیده
We introduce our methodology for collecting tweets and identifying event-related actionable information using key terms and inflections. The vast amount of user-generated content makes it challenging to detect relevant information. Therefore, we aim to facilitate extracting morphological, syntactic, and semantic features of a key term semiautomatically. The results of our study show that handling the inflections of key terms separately has its advantages: in the disaster scenario that we are investigating we are successful in discovering relevant and irrelevant information effectively.
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