abhiverse01/SentimentAnalysis-DistilBERT
Sentiment analysis using the distilbert-base-uncased model using the movies dataset.
This helps you understand the emotional tone of written text, like customer reviews or social media posts, by classifying it as positive or negative. You provide raw text data, and it outputs the sentiment of that text. This is designed for data analysts, marketers, or researchers who need to quickly gauge public opinion or evaluate feedback.
No commits in the last 6 months.
Use this if you need to analyze large volumes of text to determine if the sentiment expressed is positive or negative.
Not ideal if you need to identify nuanced emotions beyond just positive or negative, or if you require an extremely high level of accuracy for critical decision-making without further tuning.
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Language
Jupyter Notebook
License
Apache-2.0
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Last pushed
Jul 21, 2024
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