ViralLab/TurkishBERTweet
TurkishBERTweet: Fast and Reliable Large Language Model for Social Media Analysis
This project helps social media analysts, marketers, or researchers understand public opinion and identify harmful content in Turkish social media data. It takes raw Turkish tweets as input and provides classifications for sentiment (positive, neutral, negative) or flags hate speech. The output helps users quickly categorize and analyze large volumes of Turkish social media text.
No commits in the last 6 months.
Use this if you need to quickly and accurately analyze the sentiment or detect hate speech in Turkish-language social media content.
Not ideal if your primary need is for analysis of non-Turkish text or for tasks beyond sentiment and hate speech detection, without further fine-tuning.
Stars
38
Forks
2
Language
Python
License
MIT
Category
Last pushed
Sep 22, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/ViralLab/TurkishBERTweet"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
angelosalatino/cso-classifier
Python library that classifies content from scientific papers with the topics of the Computer...
newsgac/platform
Platform for machine learning experiments developed in the project NEWSGAC
giuseppebonaccorso/Reuters-21578-Classification
Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM
aqibsaeed/Research-Paper-Categorization
Research paper classification using machine learning and NLP
tblock/10kGNAD
Ten Thousand German News Articles Dataset for Topic Classification