ashalogic/Persian-Sentiment-Analyzer
Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )
This project helps you understand the emotional tone of Persian text. You input Persian sentences or longer texts, and it tells you whether the sentiment expressed is positive, negative, or neutral. This is useful for anyone analyzing customer feedback, social media comments, or general text in Persian.
No commits in the last 6 months.
Use this if you need to quickly and easily analyze the sentiment of Persian text for business, research, or social monitoring purposes.
Not ideal if you require extremely high accuracy for highly nuanced or specialized Persian text, as the current dataset is noted as needing improvement.
Stars
58
Forks
12
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 20, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/ashalogic/Persian-Sentiment-Analyzer"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
codelion/adaptive-classifier
A flexible, adaptive classification system for dynamic text classification
jiegzhan/multi-class-text-classification-cnn-rnn
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN...
jiegzhan/multi-class-text-classification-cnn
Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN...
cbaziotis/datastories-semeval2017-task4
Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention...
iamaziz/ar-embeddings
Sentiment Analysis for Arabic Text (tweets, reviews, and standard Arabic) using word2vec