This project is a python project reads files and generates word cloud based on the the frequencies of each word in a file after removing special characters and uninteresting words.
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Updated
Nov 11, 2021 - Jupyter Notebook
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wordclould
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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.
nlp sentiment-analysis random-forest clustering svm modeling bag-of-words logistic-regression tf-idf bow k-means lda latent-dirichlet-allocation lemmatization classfication hierarchica silhouette-score wordclould term-frequency-inverse-document-frequency gaussian-navie-bayes
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Updated
Jan 12, 2024 - Jupyter Notebook
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