Twitter Sentiment Analysis on E-commerce Websites in India

Abstract

In today's era, social media has become a valuable source of information, where people express their opinions. Analysis of such opinion-related data can provide productive insights. When these opinions are relevant to a company, accurate analysis can provide them with information like product quality, influencers affecting other customer decisions, early feedback on newly launched products, company news, trends and also knowledge about their competitors. Hence, harnessing and extracting insights from these sentiments is necessary for these companies to implement effective marketing strategies and better customer service. Carrying the same notion forward, we decided to extract sentiments from Twitter relevant to two e-commerce giants in India, Flipkart and Snapdeal. In this paper, various lexicon based approaches are applied and their accuracy is investigated.

Mapping the social landscape through social media

“…These sentiments published in SNSs, therefore, can be studied to construct a sentimental landscape using sentiment analysis (SA) which is a technique by which one can extract the sentiments inscribed within the text [6,7]. The realm of the spread of human imprints in the form of emotions rising from the contraction and expansion of sentiments over the landscape can be collected together to visualise in the form of a map.…”