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The purpose of this project is to better undesrtand the feeling of a customer using machine learning.
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Programming language: Python, Web IDE: Google Colab
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Used more than 500k labeled sentences from Amazon to train a model to classify how happy a customer is.
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The data has been preprocessed and then trained using word2vec for word embedding and mapping.
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Trained the model using multiple machine learning techniques such as KNN, Naïve Bayes, SVM, and logistic regression and measured accuracy, recall, and precision for each one.
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masfour7/Sentence-Sentiment-Classifier-ML
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