Sensing Microblog for Effective Information Extractions
نویسندگان
چکیده
The SMERP 2017 data challenge track given a set of tweets posted during Italy earthquake. For retrieving more relevance information respect to user interest profile in this paper provide BM25 and word2vec techniques for retrieving relevance information from twitter stream. This techniques aim is to find real-world and most relevance information respect to the query. For retrieving most relevant information used query expansion techniques. Information rank retrieval techniques BM25 find important data and give the final score to that information with respect to user interest profile. The result of our method in this task shows this is an effective method.
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