Srivastava, R and Faiz, A M (2019) Reviews Analysis of Online Retail Stores in UAE: Analytical Study of Sentiments Through Social Media. International Journal of Innovative Technology and Exploring Engineering, 8 (4). pp. 88-92. ISSN 2278-3075
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Abstract
Text mining for social media has now become decisive tool for marketing, and many businesses understand the supremacy of embracing technology into their marketing campaigns. These texts are the “Consumer language”, owing to its spread and reach. There is no reservation that use of user generated texts has stimulated the companies to identify them and use it for decision making, however, classifying sentiment analysis through these texts is still a fresh sensation. Online retail companies in UAE are an early adopter of social media, but how do they use text mining techniques is still a matter to wary upon. The study proposes a model to collect reviews from multiple sources and identify sentiments and topics simultaneously. The model is the tested on 3 online retail companies in UAE and the results depicts productive outcomes. Index Terms: Sentiment Analysis, Liu Hu algorithm, Plutchik modeling, Latent Semantic Indexing
Affiliation: | Skyline University College |
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SUC Author(s): | Srivastava, R |
All Author(s): | Srivastava, R and Faiz, A M |
Item Type: | Article |
Uncontrolled Keywords: | Sentiment Analysis, Liu Hu algorithm, Plutchik modeling, Latent Semantic Indexing |
Subjects: | B Information Technology > BQ Data Analytics |
Divisions: | Skyline University College > School of IT |
Depositing User: | Mr SUC Library |
Date Deposited: | 30 May 2022 15:37 |
Last Modified: | 30 May 2022 15:38 |
URI: | https://research.skylineuniversity.ac.ae/id/eprint/272 |
Publisher URL: | https://www.ijitee.org/wp-content/uploads/papers/v... |
Publisher OA policy: | https://v2.sherpa.ac.uk/id/publication/39413 |
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