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Summarizing tweet in real-time by filtering quality, relevant and non redundant tweets
2017
Text Retrieval Conference
This paper presents the participation of LIRMM laboratory (University of Montpellier), P3 Group and IRIT laboratory (University of Toulouse) to the Real Time Summarization track of TREC 2017. We extend our previous approach [1] for real-time filtering of tweet stream that aims to identify quality, relevant and non-redundant tweets to be pushed to the user at real-time. We describe in this paper the proposed approach and we discuss official obtained results.
dblp:conf/trec/MoulahiJAT17
fatcat:g3rojjjsczgltayjcceebssa6y