newsclassification

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

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

News Scrapping And Classification

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。

A machine learning model that detects fake vs real news using TF-IDF and a PassiveAggressiveClassifier, achieving ~99% accuracy. Includes full preprocessing, model training, evaluation, and a Flask web app for real-time predictions.

Fake News Detection website using Machine Learning by Team Ai

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

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

Persian news classification

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

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

This project aims to develop a machine learning model that can classify news articles into predefined categories, such as sports, politics, and technology, based on their content.

This project applies NLP and LLMs to detect misinformation in climate and environmental news.

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

A BERT-based NLP project using the News Category Dataset v3 to classify headlines from HuffPost news articles into 42 categories. Fine-tunes a pretrained BERT model using PyTorch and Hugging Face Transformers, with text tokenization, model evaluation, and top-3 category predictions for new headlines.

AI-powered news analysis platform that aggregates articles from multiple news sources and identifies factual consensus, narrative differences, and media bias using LLMs and semantic similarity techniques.

News Topic Classification with Support Vector Machine

🚀 Built a News Topic Classifier using NLP techniques with Logistic Regression and TF-IDF 💻✨ Developed and deployed an interactive, user-friendly Streamlit web app for real-time 📰 news classification and 📊 text analytics

📰 BBC News Article Classifier: A project that categorizes BBC News articles into business, entertainment, politics, sport, and tech 🏙️. Utilizes NLP techniques to build a precise classification model for text data, delivering accurate categorization 🤖.

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