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GitHub / ceyhun262613 / thesis-sentiment-analysis

Greek Twitter Sentiment Analysis Using BERT and Machine Learning This project applies BERT (Greek uncased model) alongside traditional machine learning models (Logistic Regression, Naive Bayes) to perform sentiment classification on Greek Twitter data.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ceyhun262613%2Fthesis-sentiment-analysis
PURL: pkg:github/ceyhun262613/thesis-sentiment-analysis

Stars: 1
Forks: 0
Open issues: 0

License: gpl-3.0
Language: Python
Size: 1.32 MB
Dependencies parsed at: Pending

Created at: 3 months ago
Updated at: 2 months ago
Pushed at: 2 months ago
Last synced at: 2 months ago

Topics: airbnb, danish, django, django-rest-framework, indobertweet, opinion-mining, pyspark, react-hooks, sentiment-analysis, svm, swagger, topic-classification, tweepy, twitter

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