A project about Sentiment analysis on Corona tweets
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Updated
Feb 27, 2022 - Jupyter Notebook
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tf-id
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Sentiment Analysis on MoviewReview dataset. A bunch of different feature representations and classification algorithms are used. A detailed comparision is also provided.
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Updated
Apr 9, 2021 - Jupyter Notebook
Distinguish fake news from real news using Bag of Words, TF-IDF and Word2Vec with Naive Bayes and Logistic Regression classifiers. Also used the feature enrichment concept of Machine Learning to analyze how the output changes.
nlp
word2vec
naive-bayes-classifier
logistic-regression
bagofwords
fake-news-classification
tf-id
feature-enrichment
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Updated
May 7, 2020 - Jupyter Notebook
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