mohd-faizy/06P_Sentiment-Analysis-With-Deep-Learning-Using-BERT

Finetuning BERT in PyTorch for sentiment analysis.

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Emerging

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.

No commits in the last 6 months.

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.

customer-feedback social-media-listening market-research brand-reputation text-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

23

Forks

8

Language

Jupyter Notebook

License

MIT

Last pushed

Oct 12, 2022

Commits (30d)

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