DarienNouri/NLP-Document-Classification
This repository explores the correlation between news headlines' textual embeddings and their political orientation. Using clustering and transformer-based embeddings, the goal is to classify news sources based on headline content. Key features include clustering visualizations, BERT embeddings, and comparisons between K-Means, Spectral, and DBSCAN
No commits in the last 6 months.
Stars
—
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 10, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/DarienNouri/NLP-Document-Classification"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
yongzhuo/Pytorch-NLU
中文文本分类、序列标注工具包（pytorch），支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词、抽取式文本摘要等序列标注任务。 Chinese text...
aniass/Product-Categorization-NLP
Multi-Class Text Classification for products based on their description with Machine Learning...
VinAIResearch/BERTweet
BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
hppRC/bert-classification-tutorial
【2023年版】BERTによるテキスト分類
zhanlaoban/Transformers_for_Text_Classification
基于Transformers的文本分类