GitHub / HealthyData-Hub / Predicting-Sentiment-Based-on-Drug-Product-User-Reviews-for-Informed-Decision-Making-Part-2
Review sentiment based on drug user reviews text/ dataset, using a supervised binary text classifier, which will classify user reviews as positive or negative
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License: apache-2.0
Language: Jupyter Notebook
Size: 2.77 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Topics: bag-of-words, baseline-model, bert-fine-tuning, bert-model, data-visualization, dataanalytics, datascience, large-language-models, natural-language-processing, ngram-extraction, nlp, preprocessing, pytorch-implementation, sentiment-analysis, text-classification, transformer-architecture, wordcloud, xlnet-fine-tuning, xlnet-model