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Intweetive Text Summarization ...
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Abstract:
The amount of user generated contents from various social medias allows analyst to handle a wide view of conversations on several topics related to their business. Nevertheless keeping up-to-date with this amount of information is not humanly feasible. Automatic Summarization then provides an interesting mean to digest the dynamics and the mass volume of contents. In this paper, we address the issue of tweets summarization which remains scarcely explored. We propose to automatically generated summaries of Micro-Blogs conversations dealing with public figures E-Reputation. These summaries are generated using key-word queries or sample tweet and offer a focused view of the whole Micro-Blog network. Since state-of-the-art is lacking on this point we conduct and evaluate our experiments over the multilingual CLEF RepLab Topic-Detection dataset according to an experimental evaluation process. ... : 8 pages, 4 tables ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; Information Retrieval cs.IR
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URL: https://arxiv.org/abs/2001.11382
https://dx.doi.org/10.48550/arxiv.2001.11382
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Finding topic-specific strings in text categorization and opinion mining contexts
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In: DMIN'10 ; https://hal.archives-ouvertes.fr/hal-01318044 ; DMIN'10 , Jul 2010, Las Vegas, United States (2010)
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Improving Update Summarization by Revisiting the MMR Criterion ...
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Contextes multilingues alignés pour la désambiguïsation sémantique : une étude expérimentale
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In: Actes de la 12ème conférence annuelle sur le Traitement Automatique des Langues Naturelles, 6-10 juin 2005 ; TALN 2005 ; https://hal.archives-ouvertes.fr/hal-01073712 ; TALN 2005, 2005, Dourdan, pp. 415--420 (2005)
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