sidmahurkar/BERT-Twitter-US-Airline-Sentiment-Analysis
BERT Base Uncased is used for multi-class sentiment analysis. Hugginface's pytorch implementation of BERT is used.
This project helps you understand public sentiment towards US airlines by analyzing Twitter data. It takes raw tweets about US airlines and classifies them as positive, negative, or neutral. Anyone interested in airline reputation, customer feedback, or social media trends within the airline industry would find this useful.
No commits in the last 6 months.
Use this if you need a quick way to gauge the general sentiment of Twitter discussions related to US airlines.
Not ideal if you require a sentiment analysis tool for domains outside of US airlines or need to analyze data from platforms other than Twitter.
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Last pushed
Sep 21, 2019
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