GitHub / Tech-Guyy / Text-processing-sentiments-analysis

The author implemented support vector machine for sentiments analysis and applied two feature extractions, Bag-of-Words (CountVectorizer) and TF-IDF (TfidfVectorizer), after which the results for both methods were analysed. The accuracy obtained for both methods were (BoW = 87%) and (TF-IDF = 86%).

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Topics: bag-of-words, logistic-regression, machine-learning, sentiment-analysis, sentiment-classification, support-vector-machines, textprocessing, tf-idf

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