Language Sentiment Analysis for Sunrail Transportation

Kunal Sonalkar, Shilpa Goel

Abstract: This paper presents a method to automatically extract sentiment (positive or negative) from a tweet along with the various challenges appear that in the field. Indeed, the task of automatic sentiment recognition in online text becomes more difficult for all the aforementioned reasons like limited size of character i.e. 140, unlimited spelling mistakes, slang words and different languages.

Keywords: opinion, machine learning, tweets, semantic analysis, Na?ve Bayes Classifier

How to Cite?: Kunal Sonalkar, Shilpa Goel, "Language Sentiment Analysis for Sunrail Transportation", Volume 14 Issue 2, February 2025, International Journal of Science and Research (IJSR), Pages: 321-325, https://www.ijsr.net/getabstract.php?paperid=SR25203213700, DOI: https://dx.doi.org/10.21275/SR25203213700