Study Of Emotion By Using Sentiment Analysis On India’s Logistics And Supply Chain

Authors

  • Anitesh Das

Abstract

News and articles are two kinds of media producing and knowledge providing services.
Latest studies show that in text analysis, the main category of communication is related to current
affairs. Because of the collaborative and real-time nature of information, capturing public and business
opinions by analysing news article has drawn tremendous interest. In this research paper, an adaptable
sentiment analysis approach is proposed where a total of 573 news articles and magazines based on
Indian logistics and supply chain domain is recorded as a raw file. Most frequently used words, and
the sentiments are shown for a specific period by using text analytics. This paper also finds out the
trend of the emotion in between eight emotions for one particular period, which plays a massive part
in taking any company’s managerial decisions.

Published

2020-11-01

Issue

Section

Articles