A Credibility and Classification-Based Approach for Opinion Analysis in Social Networks

Abstract : There is an ongoing interest in examining users' experiences made available through social media. Unfortunately these experiences like reviews on products and/or services are sometimes conflicting and thus, do not help develop a concise opinion on these products and/or services. This paper presents a multi-stage approach that extracts and consolidates reviews after addressing specific issues such as user multi-identity and user limited credibility. A system along with a set of experiments demonstrate the feasibility of the approach.
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Bellatreche, L; Pastor, O; Jimenez, JMA ; AitAmeur, Y. 6th International Conference on Model and Data Engineering (MEDI), Sep 2016, Almeria, Spain. SPRINGER INT PUBLISHING AG, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, Model and Data Engineering, 9893 pp.303-316 Lecture Notes in Computer Science. 〈http://link.springer.com/chapter/10.1007/978-3-319-45547-1_24〉. 〈10.1007/978-3-319-45547-1_24〉
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https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01442692
Contributeur : Le2i - Université de Bourgogne <>
Soumis le : vendredi 20 janvier 2017 - 19:28:30
Dernière modification le : samedi 14 juillet 2018 - 01:06:13

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Lobna Azaza, Fatima Zohra Ennaji,, Zakaria Maamar, El Fazziki Abdelaziz, Marinette Savonnet, et al.. A Credibility and Classification-Based Approach for Opinion Analysis in Social Networks. Bellatreche, L; Pastor, O; Jimenez, JMA ; AitAmeur, Y. 6th International Conference on Model and Data Engineering (MEDI), Sep 2016, Almeria, Spain. SPRINGER INT PUBLISHING AG, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, Model and Data Engineering, 9893 pp.303-316 Lecture Notes in Computer Science. 〈http://link.springer.com/chapter/10.1007/978-3-319-45547-1_24〉. 〈10.1007/978-3-319-45547-1_24〉. 〈hal-01442692〉

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