• Jyoti Bhardwaj
• Manvi Siwach

Sentiment analysis is a process of determining and categorizing the nature of a textual data in order to ascertain whether it expresses a neutral, positive or negative sentiment. A number of applications are based on indentifying the sentiments expressed in texts. It includes performing sentiment analysis on words, sentences, paragraphs, literary texts, tweets etc. Sentiment analysis can be done on products for improving customer relation model in e-commerce. Sentiment analysis in messaging systems has a lot of research work going on. This paper summarizes a brief review on sentiment analysis in messaging systems. A comparison has also been performed among the various sentiment analysis algorithms.

Emotions; Sentiment analysis; Lexicons; Algorithms

"SENTIMENT ANALYSIS IN MESSAGING SYSTEMS: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.412-416, January-2019, Available :http://www.jetir.org/papers/JETIR1901B54.pdf

"SENTIMENT ANALYSIS IN MESSAGING SYSTEMS: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp412-416, January-2019, Available at : http://www.jetir.org/papers/JETIR1901B54.pdf