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Feedback sentiment analysis (Positive, Neutral, Negative). Applied NLP to automatically identify and extract sentiment. Used Sequential and RNN model for analysis.

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nishanttomar21/Sentimental-Analysis

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  • Developed a sentiment analysis system to classify customer feedback into positive, neutral, and negative categories. This system utilised Natural Language Processing (NLP) techniques for automated sentiment identification and extraction.

  • Employed sequential and recurrent neural network (RNN) models to analyze the sentiment within customer feedback data.

  • Skills:

    • Machine Learning
    • Python (Programming Language)
    • Git

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Feedback sentiment analysis (Positive, Neutral, Negative). Applied NLP to automatically identify and extract sentiment. Used Sequential and RNN model for analysis.

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