Abstract
Nowadays, everyone is connected with social media like WhatsApp, Facebook, Instagram, Twitter, etc. Social media is an important platform for sharing ideas, information, opinion, and knowledge among human being. In spite of these basic attributes, we can also analyze the sentiments and emotions. However, handling such big data is a challenging task. Therefore, such type of analysis is efficiently possible only through the Hadoop. In the proposed research, we are going to analyze nature of a particular person on the basis of their behavior on social sites using Hadoop. For analysis purpose in our research, we have taken Twitter data. The sentiment analysis is used as positive, negative, and neutral by using the concept of decision dictionary. The result shows sentiment analysis with good accuracy.
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Rathor, S. (2021). Use of Hadoop for Sentiment Analysis on Twitter’s Big Data. In: Tiwari, S., Trivedi, M., Mishra, K., Misra, A., Kumar, K., Suryani, E. (eds) Smart Innovations in Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 1168. Springer, Singapore. https://doi.org/10.1007/978-981-15-5345-5_4
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DOI: https://doi.org/10.1007/978-981-15-5345-5_4
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