Impact analysis of COVID-19 on different business using NLP on twitter data

Impact analysis of COVID-19 on different business using NLP on twitter data

Social media is becoming one of the powerful channels for people to exchange their views, concerns, updates related to their personal, political, business and so on. Twitter is one of the most widely used social platforms. 

Within this scope of article, analysis of the sentiments and manifestations like comments, hashtags, posts and tweets of the users on the Twitter social media platform, Tweets are extracted based on the main trend keywords, #Coronavirus OR #covidー19 OR #covid19 OR #covid19italia OR #coronavirusoutbreak OR #covid2019 .With the help of Natural Language Processing(NLP) technique and with sentiment analysis over tweets and analysis is carried over to statistically visualize impact of COVID-19 over different countries, industries, and sentiment analysis is summarized for further processing.

 

Data cleaning is the first step towards the analysis. 

 

Fig 1. Intermediate result after data cleaning

 

Fig 2. Country wise COVID-19 affect analysis

 

Fig 3. Industry wise COVID-19 affect analysis

Fig4. Country wise sentimental analysis