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

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Résumé

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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Dates et versions

hal-01442692 , version 1 (20-01-2017)

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Citer

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. 6th International Conference on Model and Data Engineering (MEDI), Sep 2016, Almeria, Spain. pp.303-316 ⟨10.1007/978-3-319-45547-1_24⟩. ⟨hal-01442692⟩
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