willinseu/kesci-urdu-sentiment-analysis
sentiment-analysis
This project helps you analyze the sentiment of Roman Urdu text, determining whether it expresses positive, negative, or neutral feelings. You input written content in Roman Urdu, and it outputs a classification of its sentiment. This is useful for researchers, marketers, or anyone needing to understand public opinion or customer feedback in this specific language.
No commits in the last 6 months.
Use this if you need to quickly and accurately classify the sentiment of Roman Urdu text from sources like social media, reviews, or customer comments.
Not ideal if your primary goal is to analyze sentiment in languages other than Roman Urdu, or if you need to perform more complex natural language processing tasks beyond sentiment classification.
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Last pushed
Jun 06, 2019
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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/willinseu/kesci-urdu-sentiment-analysis"
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