Related papers: Intweetive Text Summarization

Intweetive Text Summarization

URL: http://arxiv.org/abs/2001.11382v1
Date: Thu, 16 Jan 2020 08:38:40 GMT
Title: Intweetive Text Summarization
Authors: Jean Val\`ere Cossu, Juan-Manuel Torres-Moreno, Eric SanJuan, Marc El-B\`eze
Abstract summary: 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.
Score: 1.1565654851982567
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
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.

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