Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.

use regular expression, SVM, TF-IDF, x2test; classify Chinese news into three events: "financing event"(融资事件), "products release"(产品发布), "other"(其他)

Train a model to categorize news articles, scrape and translate articles, and predict their categories using TensorFlow, Keras, and Google Translate API.

Persian News Text Classification with BERT | تشخیص دسته اخبار فارسی با استفاده از مدل برت

This streamlit app is used for classifying news Headlines into different categories

The project involves developing a news classification system to distinguish between true and fake news using Logistic Regression and Decision Tree models. It includes data preprocessing, model training, and manual testing functionalities to evaluate the accuracy of the classifiers.

Multi-label 24.kg Kyrgyz news articles classification into 20 topics: data & baselines

This is a text ming project which uses a famous algorithm called Naive-Bayes. The programming language used for this is Python.

Phân loại chủ đề tin tức tiếng Việt bằng Logistic Regression và TF-IDF. Dự án nhận diện các chủ đề như: giáo dục, công nghệ, thể thao, giải trí, chính trị.

Finetuning and evaluation framework for HelaBERT, enabling Sinhala NLP tasks such as sentiment analysis, news classification, and writing style detection.

基于简单实现的多项式朴素贝叶斯的文本主题分类

LSTM network designed to recognize Fake news from "True" news

A coursework-style project from my Master's studies in Machine Learning on Big Data (University of East London), implementing distributed word embeddings and K-Means topic clustering on a large-scale news dataset using PySpark, and extending the trained models to a real-time Structured Streaming pipeline.

Multi-Class News Classification using Feature Engineering and SVM

AI-Powered News Classification System using NLP, Flask, and Machine Learning

AI-powered fake news detector with FastAPI, web demo, and optional discord/telegram bots

📰 TF-IDF News Classifier: Zero-training, pure-Python tool that uses TF-IDF + cosine similarity to instantly tag articles by your custom keyword-based categories.

An AI-powered multilingual news automation platform built using Gemini AI, Streamlit, and Python that generates concise news summaries, professional headlines, and automatic news category classification in real time. The application leverages Generative AI, NLP, and advanced prompt engineering to transform long-form news articles into newsroom-read

AI-powered News Category Classifier using Machine Learning, NLP, TF-IDF and Flask.

An MSc project exploring large-scale news headline classification with PySpark, implementing an end-to-end ML pipeline (tokenisation, word embeddings and multi-class classification) to train and evaluate a scalable text classifier on a real-world news dataset.