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Academic Project: Extracted and analyzed sentiment of citizens via twitter feeds using python open source libraries. Plotted the findings and analysis using data visualization techniques

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niharikakrishnan/Demonitization-Twitter-Sentiment-Analysis

 
 

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Twitter-Sentiment-Analysis

Context

The demonetization of ₹500 and ₹1000 banknotes was a step taken by the Government of India on 8 November 2016, ceasing the usage of all ₹500 and ₹1000 banknotes of the Mahatma Gandhi Series as a form of legal tender in India from 9 November 2016.

The announcement was made by the Prime Minister of India Narendra Modi in an unscheduled live televised address to the nation at 20:15 Indian Standard Time (IST) the same day. In the announcement, Modi declared circulation of all ₹500 and ₹1000 banknotes of the Mahatma Gandhi Series as invalid and announced the issuance of new ₹500 and ₹2000 banknotes of the Mahatma Gandhi New Series in exchange for the old banknotes.

Project Details

Collecting the tweets as a csv file,the program first implements sentiment analysis of the tweets on #Demonetisation, displaying 5 random tweets at a time and its corresponding sentiment values.

All the tweets in the dataset are eventually analysed and the result is then visualised in the form of a bar graph and pie chart, giving us an overview of the analysis.

Data Visualisation

Bar Graph

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Pie Chart

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Hashtag Bar Graph

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Conclusion

The public reception has mostly been negative when it comes to coping with demonetisation.

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Academic Project: Extracted and analyzed sentiment of citizens via twitter feeds using python open source libraries. Plotted the findings and analysis using data visualization techniques

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  • Python 100.0%