iamaziz/ar-embeddings
Sentiment Analysis for Arabic Text (tweets, reviews, and standard Arabic) using word2vec
This project helps you understand the sentiment of Arabic text, such as tweets, customer reviews, or news articles. It takes your Arabic text data as input and determines whether the sentiment expressed is positive or negative. Anyone needing to gauge public opinion or analyze customer feedback in Arabic can use this.
No commits in the last 6 months.
Use this if you need to perform sentiment analysis on Arabic text from various sources like social media, product reviews, or general documents.
Not ideal if your primary need is sentiment analysis for languages other than Arabic.
Stars
95
Forks
48
Language
Python
License
MIT
Category
Last pushed
Aug 20, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/iamaziz/ar-embeddings"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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