Analysis of Users Behavioral Pattern Using Sentiment Analysis: A Survey

Farah Jamal, Kavita Agrawal

Abstract: People express themselves by giving suggestions, opinions, feedback or ideas about the product. People use social media platforms such as twitter, facebook, blogs etc to express their views. Sentiment analysis becomes more pivotal due to availability of large amount of information on social media. Sentiments from social media such as facebook or twitter provide most up-to-minute and comprehensive information. The study of users behavior helps firms and organization to improve their marketing strategy. Users opinion that are present on social networking sites will help business analyst/specialist to provide better option to the users and thus motivating the users to buy the products. The aim is to determine the expressed reviews of customer using supervised learning and deep learning algorithm. This will help in understanding the various issues of customer like how he feels, think and select between different alternatives.

Keywords: Sentiment Analysis, Hybrid, Deep Learning, Nave Bayes, Decision Tree

How to Cite?: Farah Jamal, Kavita Agrawal, "Analysis of Users Behavioral Pattern Using Sentiment Analysis: A Survey", Volume 8 Issue 4, April 2019, International Journal of Science and Research (IJSR), Pages: 843-847, https://www.ijsr.net/getabstract.php?paperid=ART20196753, DOI: https://dx.doi.org/10.21275/ART20196753