mohamedELBAHA/Text-classification-of-BBC-news-dataset
Application of NLP, word embedding, LSTM, PCA, TSNE.
This project helps classify news articles into specific topics like technology, business, sport, entertainment, or politics. You provide raw news text, and it outputs the predicted category for each article. This is useful for content managers, journalists, or media analysts who need to organize or analyze large volumes of text.
No commits in the last 6 months.
Use this if you need to automatically sort or categorize plain text documents, especially news articles or similar short-form content.
Not ideal if your text data is highly specialized, requires sentiment analysis, or if you need to classify into a very large number of categories.
Stars
13
Forks
5
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 01, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/mohamedELBAHA/Text-classification-of-BBC-news-dataset"
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