Sentiment Analysis using Lexicon based Approach

Munna Pandey , Rebecca Williams , Nikita Jindal , Anurag Batra
Assistant Professor, Institute of Information Technology & Management, Janakpuri, New Delhi, India
Research Scholar, Institute of Information Technology & Management, Janakpuri, New Delhi, India
Munna Pandey, Rebecca Williams, Nikita Jindal, Anurag Batra . (2019). Sentiment Analysis using Lexicon based Approach. IITM Journal of Management and IT, 10(1), 68-76.
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Abstract

Triple talaq is also known as talaq-ebiddat instant divorce. It is a kind of Islamic divorce used by Muslims in India. It allows Muslims man to divorce their wife legally by simply stating the word ‘Talaq' three times in any form which can be in any way (verbal, written, or in electronic form). Now a day, the huge amount of data is posted on daily basis on the social media platform. Twitter is a well known social networking platform where the user can post their views, opinions, and thoughts freely. The sentimental analysis is a process of understanding opinions, thoughts and feelings of people about a given subject. This paper analyses tweets posted on Twitter on the subject Triple from the year 2002 to the year 2019. We have transformed unstructured data into well-informed data for getting the insights of people. The main focus of the work is to analyze the feelings of people using two well-known API like Text Blob, and Spa Cy. These APIs are based on Lexicon approach. This paper predicts sentiment into three classes positive, negative and neutral.

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