this repo contains files for my analysis on disney land visitor reviews using NLP
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Updated
Apr 1, 2022 - HTML
this repo contains files for my analysis on disney land visitor reviews using NLP
This project uses machine learning to categorize and prioritize airline user tweets based on content and sentiment. The goal is to reduce airlines' workload and provide personalized, empathetic responses to users. By training a sentiment analysis model, airlines can better understand customers' needs and improve their overall service on Twitter.
Developed an Automated Twitter Response Tool for a focus in airline complaints using Kafka Streaming, LSTM, LDA, NRC Lexicon, and made analysis reports by using dataprep.ai
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