Abstract
With the increase in the use of social networking sites like Twitter anyone can share or express his or her views with each other on a common stage. Twitter sentiment analyzer is a tool which is used to find out whether a corpus of data is positive, negative or neutral. Our work focuses on the steps involved in this Opinion Mining problem necessary to fetch opinions out of a corpus. We also aim to look at the strengths and scope for future research in the field of Twitter sentiment analyzer.
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Dharmendra, S., Akshay, B., Ashvinder, S. (2017). An Approach to Build a Sentiment Analyzer: A Survey. In: Kaushik, S., Gupta, D., Kharb, L., Chahal, D. (eds) Information, Communication and Computing Technology. ICICCT 2017. Communications in Computer and Information Science, vol 750. Springer, Singapore. https://doi.org/10.1007/978-981-10-6544-6_13
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DOI: https://doi.org/10.1007/978-981-10-6544-6_13
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