TheophileBlard/french-sentiment-analysis-with-bert
How good is BERT ? Comparing BERT to other state-of-the-art approaches on a French sentiment analysis dataset
This project helps you analyze French text to determine if the sentiment expressed is positive or negative. It takes raw French text, such as customer reviews or social media posts, and outputs a clear "Positive" or "Negative" sentiment label. This is ideal for marketers, customer service managers, or anyone needing to quickly understand public opinion or customer feedback in French.
156 stars. No commits in the last 6 months.
Use this if you need highly accurate sentiment analysis for French language text, especially for large volumes of user-generated content.
Not ideal if your primary need is real-time processing of extremely short texts, as the most accurate models are slower, or if you only work with English text.
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156
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39
Language
Jupyter Notebook
License
MIT
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Last pushed
Feb 16, 2023
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