GitHub / dhruv007patel / Automated-Twitter-Response-Tool
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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dhruv007patel%2FAutomated-Twitter-Response-Tool
PURL: pkg:github/dhruv007patel/Automated-Twitter-Response-Tool
Fork of sfu-dataminers/cmpt733-project
Stars: 1
Forks: 0
Open issues: 0
License: None
Language:
Size: 25.3 MB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: over 2 years ago
Pushed at: over 3 years ago
Last synced at: about 2 years ago
Topics: bilstm, kafka, lda, lstm, nlp-machine-learning, nrc-emotion-lexicon, roberta, sentiment-analysis, spark-streaming