document: Keyword extraction for social snippets Today , a huge amount of text is being generated for social purposes on social networking services on the Web . Unlike traditional documents , such text is usually extremely short and tends to be informal . Analysis of such text benefit many applications such as advertising , search , and content filtering . In this work , we study one traditional text mining task on such new form of text , that is extraction of meaningful keywords . We propose several intuitive yet useful features and experiment with various classification models . Evaluation is conducted on Facebook data . Performances of various features and models are reported and compared .
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