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README.md
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<h3>Limitations</h3>
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This lightweight model is mainly trained on Wikipedia, so it's particularly suitable as an agile analyzer for large volumes of natively digital text
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from the world wide web, written in a correct and fluent form (like wikis, web pages, news, etc.).
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(like social media posts) or when it comes to domain-specific text (like medical, financial or legal content).
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<h3>References</h3>
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<h3>Limitations</h3>
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This lightweight model is mainly trained on Wikipedia, so it's particularly suitable as an agile analyzer for large volumes of natively digital text
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from the world wide web, written in a correct and fluent form (like wikis, web pages, news, etc.). However, it may show limitations when it comes to chaotic text, containing errors and slang expressions
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(like social media posts) or when it comes to domain-specific text (like medical, financial or legal content).
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<h3>References</h3>
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