newsgroups
There are 17 repositories under newsgroups topic.
nZEDb/nZEDb
nZEDb - a fork of nnplus(2011) | NNTP / Usenet / Newsgroup indexer.
NNTmux/newznab-tmux
Laravel based usenet indexer
demanuel/NewsUP
Fully feature high performance binary usenet uploader/poster
Dubrzr/NG-Notifier
A News Reader as a webapp', bundled with a system for frequent checks of news, and a notifier system using mails, push notifications & pushbullet. Android and iOS apps available!
mtak/newsUpload
Script for automated Usenet backups
mildred/nimnews
Immature Newsgroup NNTP server using Nim and SQLite
alt-magick/Newsgroup-Kill-Switch
A Usenet dead man's switch that posts to newsgroups over NNTP
Julien-Elie/usenet-hierarchies
Unified view of information about Usenet hierarchies and newsgroups, via a web site and the Netnews Administration System (NAS) protocol.
DrKenReid/Generalized-Analysis-of-Text-Data
A comprehensive toolkit for analyzing text data using various AI and NLP techniques, including topic modeling, sentiment analysis, and text classification, demonstrated on the 20 Newsgroups dataset.
VirtualMagick/alt.magick
Articles written for the newsgroup alt.magick
Cutlery-Drawer/comp.sources.unix
Archive of comp.sources.unix, mirrored from https://sources.vsta.org/.
MAbdelhamid2001/20-Newsgroups-Classification
The 20 Newsgroups dataset is a collection of about 20,000 documents from 20 different newsgroups, covering various topics such as politics, religion, and sport. the task is building a model to classify news data into various categories through text classification.
Chronolabs-Cooperative/xPNews-Module-Xoops25
NNTP News Browser and Submitter for XOOPS 2.5
envil/nmf-newsgroups
Analyze 20 newsgroups datasets using NMF (Non-negative Matrix Decomposition) technique. This repo is for the course Matrix Decompositions in Data Analysis at University of Eastern Finland.
hammadkhann/Kmeans-Clustering-Doc20.
The task is to cluster a given collection of documents into well-define, identifiable clusters. Clustering is an unsupervised and very challenging problem, here you need to identify many parameters for the task. You are now aware of two basic types of clustering algorithm partition and hierarchical, here you have a choice to apply any of them. The feature choices are still open for you. In order to evaluate the clustering results, you should apply one internal and one external clustering evaluation measure. Dataset The dataset is a subset of famous NEWS20 dataset. It contains 50 textual documents. In supervise learning the input is the only thing available for learning. You can set a baseline for this dataset by using tf*idf based features from the text.
leejiaj/Multinomial-Naive-Bayes
Implementing the Naïve Bayes algorithm for text classification tasks
mowies/NewsReader
A NNTP-Reader for Android, currently in early development stage