minisnappfood/SnappFood
sentiment analysis on Snapp!food users' comments using classical machine learning models and LSTM mdoels
This tool helps customer service managers or product marketers quickly understand how Persian-speaking customers feel about products or services. You input customer comments or feedback in Persian text, and it tells you whether the sentiment is positive or negative. This is ideal for anyone needing to gauge public opinion or customer satisfaction from text feedback.
Use this if you need a straightforward way to analyze the sentiment of Persian text, particularly customer reviews or social media comments.
Not ideal if you need to analyze sentiment in languages other than Persian, or if you require a nuanced sentiment score beyond simple positive/negative classification.
Stars
24
Forks
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Language
Python
License
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Category
Last pushed
Jan 29, 2026
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/minisnappfood/SnappFood"
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