mohd-faizy/06P_Sentiment-Analysis-With-Deep-Learning-Using-BERT
Finetuning BERT in PyTorch for sentiment analysis.
This project helps you understand customer opinions from text data, like social media comments or product reviews, by classifying them as positive or negative. It takes raw text as input and outputs the sentiment, helping marketing analysts, product managers, or customer service teams quickly gauge public perception. The core of this tool is a fine-tuned BERT model, designed for accurate natural language processing.
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Use this if you need to analyze large volumes of text data to automatically detect and categorize the emotional tone or sentiment.
Not ideal if you require an off-the-shelf, plug-and-play solution without any coding or model training.
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Jupyter Notebook
License
MIT
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Last pushed
Oct 12, 2022
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