Opinion Mining and Information Fusion: A survey

By Jorge A. Balazs, Juan Domingo Velásquez. 2016

238 citations recorded by the source corpus.

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In Artificial Intelligence

Citations in the corpus

A survey of data fusion in smart city applications (2019, background): “• S2: Cyber Data Sources Cyber data sources denote datasets which are commonly obtained from the Internet domain such as social media information [76], [86], web access data [87], [88], and opinion based datasets [89].”
A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances (2022, background): “In social media, affective computing can avidly help to understand the opinions being expressed on different platforms [9].”
Sentiment analysis using deep learning architectures: a review (2019, background): “Financial market prediction Bhardwaj et al. (2015), Napitu et al. (2017), Rao and Srivastava (2012), Xu and Kešelj (2014) and Bollen et al. (2011) Business review analysis Zvarevashe and Olugbara (2018), Singla et al. (2017), Hedge and Padma (2017), Haque et al.”
A survey on classification techniques for opinion mining and sentiment analysis (2017, background): “Several recent surveys and reviews on sentiment analysis consider these levels of opinion mining from this point of view (Medhat et al. 2014; Ravi and Ravi 2015; Balazs and Velasquez 2016; Yan et al. 2017; Sun et al. 2017; Lo et al. 2017).”
A review of natural language processing techniques for opinion mining systems (2017, background): “Besides the above reviews on specific areas, Balazs and Velásquez [14] investigated related work on opinion mining as well as information fusion, and proposed a conceptual framework of applying information fusion for opinion mining.”