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This project focuses on building a logistic regression model to analyse the sentiment of a tweet. The dataset contains 1,600,000 tweets extracted using the twitter api . The tweets have been annotated (0 = negative, 4 = positive) and they can be used to detect sentiment. The corresponding label indicates whether it is a positive or a negative tweet

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UdayTripathi108/Sentiment-Analysis-of-Tweets-using-Natural-Language-Processing

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Sentiment-Analysis-of-Tweets-using-Natural-Language-Processing

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This project focuses on building a logistic regression model to analyse the sentiment of a tweet. The dataset contains 1,600,000 tweets extracted using the twitter api . The tweets have been annotated (0 = negative, 4 = positive) and they can be used to detect sentiment. The corresponding label indicates whether it is a positive or a negative tweet

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machine-learning natural-language-processing programming sentiment-analysis machine-learning-algorithms project kaggle logistic-regression machinelearning twitter-sentiment-analysis sentiment-classification kaggle-dataset

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