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GitHub / HealthyData-Hub / Predicting-Sentiment-Based-on-Drug-Product-User-Reviews-for-Informed-Decision-Making-Part-1

Review sentiment based on drug user reviews text/ dataset, using a supervised binary text classifier, which will classify user reviews as positive or negative

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HealthyData-Hub%2FPredicting-Sentiment-Based-on-Drug-Product-User-Reviews-for-Informed-Decision-Making-Part-1

Stars: 0
Forks: 0
Open Issues: 0

License: apache-2.0
Language: Jupyter Notebook
Repo Size: 2.21 MB
Dependencies: 0

Created: 9 months ago
Updated: 9 months ago
Last pushed: 9 months ago
Last synced: 4 months ago

Commit Stats

Commits: 3
Authors: 1
Mean commits per author: 3.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/HealthyData-Hub/Predicting-Sentiment-Based-on-Drug-Product-User-Reviews-for-Informed-Decision-Making-Part-1

Topics: bagofwords, baseline-model, dataanalytics, datascience, datavisualisation, featureextraction, machine-learning-algorithms, natural-language-processing, ngram-extraction, nlp, preprocessing, sentiment-analysis, textclassification, tfidf-vectorizer, wordcloud

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