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An Unsupervised Learning Approach for Automatically to Categorize Potential Suicide Messages in Social Media
Conference ObjectAbstract: In this paper, we present an approach to categorize potential suicide messages in social media whichPalabras claves:Automatic annotation, Clustering, Corpus, Social media, suicide, unsupervised learningAutores:Caicedo R.A., Gomez Soriano J.M., Inostroza-Ponta M., Jorge Parraga-AlavaFuentes:googlescopusUrbangEnCy: An emergency events dataset based on citizen sensors for monitoring urban scenarios in Ecuador
OtherAbstract: Recently, the use of the citizen-sensors (people generating and sharing real data by social media) fPalabras claves:Citizen sensors, ECU 911, ECUADOR, Emergency events, Social media, TEXT MININGAutores:Jaime Meza, Jaime Meza Hormaza, Jorge Parraga-Alava, Leticia Vaca-Cardenas, Roberth Alcivar-CevallosFuentes:googlescopusToward a Social Media Emergency Events Detection Based on Supervised Learning
Conference ObjectAbstract: Urban emergency events affect many lives and property of people every day. They should be tackled inPalabras claves:classification, Emergency detection, Emergency events, Social mediaAutores:Jorge Parraga-Alava, Jorge Santillan, Roberth Alcivar-Cevallos, Yahir MendozaFuentes:scopus