Abstract
The analysis of sentiments consists in identifying and classifying the opinions, attitudes, and sentiments of people expressed in original sentences. The advancement of social media, different critics, forum discussions, blogging, and working on social networks can be divided into different ways. Users who generate huge amounts of sentiment data on the website are in large quantities in the form of tweets and status updates. The sentiment analysis of this data is useful for market analysis and product research organizations. They are increasingly using public opinions in these media for their decision-making. In this paper, we propose an approach for analyzing the sentiment or opinion in an efficient manner. For this, we have proposed a technique that focuses multilingual data analysis to classify sentiment analysis for the tweets.
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Goel, P., Goel, V., Gupta, A.K. (2020). Multilingual Data Analysis to Classify Sentiment Analysis for Tweets Using NLP and Classification Algorithm. In: Kolhe, M., Tiwari, S., Trivedi, M., Mishra, K. (eds) Advances in Data and Information Sciences. Lecture Notes in Networks and Systems, vol 94. Springer, Singapore. https://doi.org/10.1007/978-981-15-0694-9_26
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DOI: https://doi.org/10.1007/978-981-15-0694-9_26
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