Abstract
The keyphrase extraction, text summarization and word collocation algorithms have been different forms of summarizing the textual information. However, the unstructured user-generated data over social media is short-text and ill-formed. The use of existing traditional keyphrase extraction algorithm for unstructured data may give indifferent results. This problem has received minimal attention from academic researchers and practitioners. Thus in this article, the experimental evaluation of existing keyphrase extraction techniques have been performed. The performance evaluation have been done using ROUGE-1, ROUGE-2 and ROUGE-L score. The evaluation measures gives useful insights about keyphrase extraction techniques for social media data. The application of keyphrase extraction include topic detection, identifying events, trend detection and microblogs summarization.
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