2014
DOI: 10.5120/15805-4670
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A Sentiment Analysis based Approach to Facebook User Recommendation

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Cited by 3 publications
(2 citation statements)
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“…Due to the widespread diffusion of sentiment analysis, different studies have been provided in the literature with the aim to develop approaches for sentiment analysis processing in business domain (Fan et al, 2011;Wang et al, 2013). However the existing literature in this field appears fragmented: in some studies only a description of the sentiment extraction phase is provided (Rastogi et al, 2014;Duwairi et al, 2014;Khan et al, 2014;Bagwan et al, 2013;De Clercq et al, 2014) while other studies only consider sentiment changes detection (Bifet at al., 2011;Daas & Puts, 2014;Nguyen et al, 2012) and/or sentiment prediction (Park, 2004;Madrigal, 2001;Zhang et al, 2011a;Bollen et al, 2011;Gilbert & Karahalios, 2010). In order to overcome this fragmentation, in this paper an integrated methodology for approaching sentiment analysis in business domain is provided.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Due to the widespread diffusion of sentiment analysis, different studies have been provided in the literature with the aim to develop approaches for sentiment analysis processing in business domain (Fan et al, 2011;Wang et al, 2013). However the existing literature in this field appears fragmented: in some studies only a description of the sentiment extraction phase is provided (Rastogi et al, 2014;Duwairi et al, 2014;Khan et al, 2014;Bagwan et al, 2013;De Clercq et al, 2014) while other studies only consider sentiment changes detection (Bifet at al., 2011;Daas & Puts, 2014;Nguyen et al, 2012) and/or sentiment prediction (Park, 2004;Madrigal, 2001;Zhang et al, 2011a;Bollen et al, 2011;Gilbert & Karahalios, 2010). In order to overcome this fragmentation, in this paper an integrated methodology for approaching sentiment analysis in business domain is provided.…”
Section: Introductionmentioning
confidence: 99%
“…Different studies have been focused on extracting consumer's sentiment on Social Media. An example is provided by Rastogi et al (2014). The authors provided an approach for the extraction of consumer's sentiment of Facebook comments.…”
Section: Introductionmentioning
confidence: 99%