saurabh1907/document-classification-ml-nlp
Document classification into four defined categories (World, Sports, Business, Sci/Tech). Text Pre-processing using NLTK. Trained with different models ranging from Naïve Bayes to Convolutional Neural Network (CNN) and RCNN.
This project helps you automatically sort news articles and similar text documents into common categories like 'World', 'Sports', 'Business', or 'Sci/Tech'. You feed it raw text, and it tells you which category each document belongs to, making it easier to organize and analyze large volumes of information. Anyone who needs to categorize news or textual content quickly, such as journalists, researchers, or content managers, would find this useful.
No commits in the last 6 months.
Use this if you need to quickly and automatically sort news articles or similar text into predefined general categories.
Not ideal if you require classification into highly specific, custom categories beyond general news topics, or if you need to classify non-English text.
Stars
26
Forks
6
Language
Jupyter Notebook
License
—
Category
Last pushed
Aug 18, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/saurabh1907/document-classification-ml-nlp"
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