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Twitter-Sentimental-Analysis

Utilize the RoBERTa model for sentiment analysis on Twitter data. Perform accurate sentiment classification on tweets using state-of-the-art natural language processing techniques. Features include data preprocessing, model evaluation, fine-tuning, and deployment. Built with Python, Transformers (including RoBERTa), TensorFlow, and Flask. Sentiment

![words](D:\Neil\Code\TwitterSentimentalAnalysis\15150Screenshot 2021-06-10 at 8.webp)

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Utilize the RoBERTa model for sentiment analysis on Twitter data. Perform accurate sentiment classification on tweets using state-of-the-art natural language processing techniques. Features include data preprocessing, model evaluation, fine-tuning, and deployment. Built with Python, Transformers (including RoBERTa), TensorFlow, and Flask.

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