The News Classifier web app was built using concepts of NLP(Natural Language Processing) and Machine Learning with an accuracy of 91.4 %.

News Scrapping And Classification

📚🧠🌐 Welcome to TextAIHub repository! Explore the fascinating realm of NLP, text generation, sentiment analysis, and beyond. Join us in propelling language understanding to new frontiers through state-of-the-art AI models and advanced techniques. Together, let's ignite a revolution in text processing! 🚀💬🌍

该仓库用于分享机器学习课程实验—阿里天池比赛新闻文本分类的解题思路。

Fake News Detection website using Machine Learning by Team Ai

Classify news witch is Art, Economy, Military, Sport etc in Chinese.

Retrieving information and topic modelling on Covid-19 related news.

News-Articles-Sorting project is a machine learning-based system that aims to automatically categorize and sort news articles into predefined categories.

Using Gensim and SpaCy models for topic modeling in the news, and experimenting with LTSMs and GRUs to explore features such as writing style and sentiment per news category

Persian news classification

A Develop a multi-class classification model to classify news content according to their specific categories.

A group project to help people identify categories of tags for large quantities of untracked news articles with headlines or short descriptions available.

An implementation of a deep convolutional neural network to classify Persian news topics.

This is a MultiLingual News Classifier using NLP and ML

Using NLP, this project categorizes BBC News articles into business, entertainment, politics, sport, and tech. It leverages text data to build a precise classification model.

News Topic Classification with Support Vector Machine

Text classification implementation based on TextCNN and transformers.BertTokenizer. Includes training, prediction, data loading, and accuracy evaluation.