Analysis of sentiment resulting from public figure's statements on social media against his/her public approval ratings. Sentiment was extracted and classified using scarpped data, Naive Bayes classifier and linear SVM. Both classifiers were used and compared for benchmark purposes. Used Pandas, sklearn, and Python.
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Analysis of sentiment resulting from public figure's statements on social media against his/her public approval ratings. Sentiment was extracted and classified using scarpped data, Naive Bayes classifier and linear SVM. Both classifiers were used and compared for benchmark purposes. Used Pandas, sklearn, and Python.
periakiva/semanticAnalysis
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Analysis of sentiment resulting from public figure's statements on social media against his/her public approval ratings. Sentiment was extracted and classified using scarpped data, Naive Bayes classifier and linear SVM. Both classifiers were used and compared for benchmark purposes. Used Pandas, sklearn, and Python.
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