Abstract
Nowadays, social networking has become the most useful means by which people share about the happenings of their lives. This has tremendously increased the use of online social networking sites for varying purposes. People have become very much comfortable about sharing their lives on these sites. These social networking sites generate an enormous amount of data which is generally used for research and other purposes. Whenever a customer wants to buy a product, there are millions of millions of reviews about those products so it becomes impossible for the customers to read and go through each and every review. In this paper, we have tried to analyze the views of people on online social networking sites and then provided the results. The main idea is to find the best product according to the popularity of that product on that particular online social networking site like Twitter or Facebook according to the tweets or comments of the user.
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Khan, A., Ali, R. (2018). ProRank-Product Ranking on the Basis of Twitter Sentiment Analysis. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2018. Communications in Computer and Information Science, vol 906. Springer, Singapore. https://doi.org/10.1007/978-981-13-1813-9_10
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DOI: https://doi.org/10.1007/978-981-13-1813-9_10
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