AlisonSalerno/clickbait_detector
Through NLP and text classification, this project aims to use ML to classify a headline as clickbait or non-clickbait and provide evidence in the possibility to deploy on a larger scale.
This project helps identify and filter out sensationalized article headlines. You input a text headline, and it tells you if it's likely clickbait or legitimate news. This is useful for anyone consuming news and information online, like social media users, content moderators, or parents.
No commits in the last 6 months.
Use this if you want to automatically detect and flag misleading or low-quality article headlines.
Not ideal if you need to analyze the full content of an article, rather than just the headline, or if you require very fine-grained sentiment analysis.
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Last pushed
Dec 21, 2022
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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/AlisonSalerno/clickbait_detector"
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