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Built a Twitter Sentiment Analysis project leveraging the Sentiment140 dataset (1.6 million tweets), where a machine learning model accurately classifies tweets as either positive or negative. The system enhances brand monitoring and crisis management by automating sentiment analysis on Twitter, providing actionable insights.

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Twitter-Sentiment-Analysis

Built a Twitter Sentiment Analysis project leveraging the Sentiment140 dataset (1.6 million tweets), where a machine learning model accurately classifies tweets as either positive or negative. The system enhances brand monitoring and crisis management by automating sentiment analysis on Twitter, providing actionable insights.

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Built a Twitter Sentiment Analysis project leveraging the Sentiment140 dataset (1.6 million tweets), where a machine learning model accurately classifies tweets as either positive or negative. The system enhances brand monitoring and crisis management by automating sentiment analysis on Twitter, providing actionable insights.

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