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An Efficient Lexicon –Based Sentiment Analysis and Emoji Opinion Mining of Social Media Content

T. Semalatha, Dr. R. Sankara Subramanian

Abstract


Sentiment analysis is a technique of great interest and development since many Companies use sentiment analysis to automatically analyze survey responses, product reviews, social media comments and the likes to get valuable insights about their brands, product, and services. The social media generate 2.5 quintillion bytes of data each and every day, sentiment analysis has become a key tool for making sense of that data. Sentiment analysis in business plays a major role in brand revitalization.


Keywords


PoS, Emoji, SA, NLP, Machine Learning

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References


Twitter (2014) Twitter apis. https://dev.twitter.com/start.

Stanford (2014) Sentiment 140. http://www.sentiment140.com/.

www.amazon.com.

https://www.lexalytics.com/technology/sentiment-analysis”

https://towardsdatascience.com/a-practitioners-guide-to-natural-language-processing-part-i-processing-understanding-text-9f4abfd13e72

Kralj Novak, P., Smailović, J., Sluban, B., &Mozetič, I. (Dec. 2015). Sentiment of emojis. PLOS One, 10(12).

https://blog.emojipedia.org/top-emojis-of-world-emoji-day/


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