@article{(Open Science Index):https://publications.waset.org/pdf/10011789,
	  title     = {Opinion Mining and Sentiment Analysis on DEFT},
	  author    = {Najiba Ouled Omar and  Azza Harbaoui and  Henda Ben Ghezala},
	  country	= {},
	  institution	= {},
	  abstract     = {Current research practices sentiment analysis with a focus on social networks, DEfi Fouille de Texte (DEFT) (Text Mining Challenge) evaluation campaign focuses on opinion mining and sentiment analysis on social networks, especially social network Twitter. It aims to confront the systems produced by several teams from public and private research laboratories. DEFT offers participants the opportunity to work on regularly renewed themes and proposes to work on opinion mining in several editions. The purpose of this article is to scrutinize and analyze the works relating to opinions mining and sentiment analysis in the Twitter social network realized by DEFT. It examines the tasks proposed by the organizers of the challenge and the methods used by the participants.
},
	    journal   = {International Journal of Cognitive and Language Sciences},
	  volume    = {15},
	  number    = {1},
	  year      = {2021},
	  pages     = {54 - 57},
	  ee        = {https://publications.waset.org/pdf/10011789},
	  url   	= {https://publications.waset.org/vol/169},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 169, 2021},
	}