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The proposed approach is based on combining various indicators, including the names of places and temporal expressions that appear in the tweet message, related tweeting time, and additional locations from the user's profile. The effectiveness of the system was evaluated in term of recall, precision and f-measure.<\/p>","DOI":"10.4018\/jitr.2017070103","type":"journal-article","created":{"date-parts":[[2017,6,5]],"date-time":"2017-06-05T11:24:21Z","timestamp":1496661861000},"page":"34-47","source":"Crossref","is-referenced-by-count":4,"title":["Extracting Criminal-Related Events from Arabic Tweets"],"prefix":"10.4018","volume":"10","author":[{"given":"Feriel","family":"Abdelkoui","sequence":"first","affiliation":[{"name":"Constantine 2 University, Constantine, Algeria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohamed-Khireddine","family":"Kholladi","sequence":"additional","affiliation":[{"name":"Echahid Hamma Lakhdar University, El Oued, Algeria"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"JITR.2017070103-0","doi-asserted-by":"publisher","DOI":"10.1145\/2187980.2188035"},{"key":"JITR.2017070103-1","doi-asserted-by":"crossref","unstructured":"Abel, F., Hauff, C., & Houben, G. 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