Abstract
Dramatic growth of social media has created remarkable interest among Internet users nowadays. Information from these Web sites in the form of reviews, feedbacks, ratings, etc., can be utilized for various purposes like to find out users’ taste or interest to develop a proper marketing strategy, maybe for a survey about the product by using sentiment analysis. Twitter is generally used for posting long comments in short status. Twitter offers organizations a fast and powerful approach to investigate customers’ viewpoints toward the critical to success in the open market. Previously we calculate sentiment of each word for the sentiment, which may or may not be accurate because may be the same word used in past for negative review, but presently it is used for positive sense. We propose a method by applying both log function and N-gram techniques to find out the sentiment of the Twitter data in R to build a robust engine to achieve more accuracy.
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Acknowledgements
We are thankful to the faculty members of School of Computer Engineering Department of KIIT University, Bhubaneswar, for their cooperation and suggestions.
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Chidananda, H.T., Das, D., Sagnika, S. (2018). Sentiment Analysis Using N-gram Technique. In: Pattnaik, P., Rautaray, S., Das, H., Nayak, J. (eds) Progress in Computing, Analytics and Networking. Advances in Intelligent Systems and Computing, vol 710. Springer, Singapore. https://doi.org/10.1007/978-981-10-7871-2_35
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DOI: https://doi.org/10.1007/978-981-10-7871-2_35
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