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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Notes
- 1.
Sentigem BETA sentiment analysis API http://sentigem.com/.
- 2.
SentiStrenght http://sentistrength.wlv.ac.uk/.
- 3.
SentiWordNet http://sentiwordnet.isti.cnr.it/.
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Azaza, L. et al. (2016). A Credibility and Classification-Based Approach for Opinion Analysis in Social Networks. In: Bellatreche, L., Pastor, Ó., Almendros Jiménez, J., Aït-Ameur, Y. (eds) Model and Data Engineering. MEDI 2016. Lecture Notes in Computer Science(), vol 9893. Springer, Cham. https://doi.org/10.1007/978-3-319-45547-1_24
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