TL;DR —
Twitter Sentiment Analysis for the 2019 Lok Sabha Elections for Congress and BJP by crawling tweets from different hashtags of either parties, party leaders, as well as news hashtags like NDTV. The sentiments analysed covers different user-reactions restricted to positive or negative sentiments but covers an in-depth analysis of various positive and negative moods. The system is designed to learn from tweets every week and consolidates results by eliminating duplicate tweets. It preserves the retweet counts to understand the impact of higher number of retweets. The mood vocabulary is built using english word repository available in the internet.
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Written by
@sharmi1206
https://www.linkedin.com/in/sharmistha-chatterjee-7a186310/
Topics and
tags
tags
data-science|machine-learning|sentiment-analysis|politics|data|twitter|twitter-sentiment-analysis|hackernoon-top-story
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