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GitHub / RimTouny / Advanced-NLP-Powered-Sentiment-Analysis-for-E-commerce-Enhancement

Using NLP and a smart chatbot, this project gauges customer sentiments online, offering customization and real-time feedback. Employing TF-BOW-LDA and ML models, it empowers e-commerce decisions, culminating in an NLP course at uOttawa in 2023.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RimTouny%2FAdvanced-NLP-Powered-Sentiment-Analysis-for-E-commerce-Enhancement

Stars: 1
Forks: 0
Open Issues: 0

License: mit
Language: Jupyter Notebook
Repo Size: 3.06 MB
Dependencies: 0

Created: 5 months ago
Updated: 4 months ago
Last pushed: 4 months ago
Last synced: 4 months ago

Commit Stats

Commits: 13
Authors: 1
Mean commits per author: 13.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/RimTouny/Advanced-NLP-Powered-Sentiment-Analysis-for-E-commerce-Enhancement

Topics: bag-of-words, bow, classfication, clustering, gaussian-navie-bayes, hierarchica, k-means, latent-dirichlet-allocation, lda, lemmatization, logistic-regression, modeling, nlp, random-forest, sentiment-analysis, silhouette-score, svm, term-frequency-inverse-document-frequency, tf-idf, wordclould

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