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)

Classify news into categories based on headline.

News Classifier

Implementing a news classifier on Persian news dataset

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.

Experimenting with different classification algorithm and deep learning sequence processing technique to build a new classification model

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

Development of the prediction model for the Pundits Review website used to predict the sentiment in football news articles - https://www.punditsreview.com/

Code repository for ACL2020 paper Multi-label and Multilingual News Framing Analysis

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

Sentiment analysis and topic modeling

Turkish News Category Classification Tutorial

A machine learning project that focuses on categorizing Chinese news articles.

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

Improving News Classification Model Using Support Vector Machine and Naive Bayes

To classify a headline into three categories namely Business,technology and Sport

Classify news on the basis of titles using Google's word2vec

Cyrillic Mongolian text classification with tensorflow 2, and also some fine-tuning on TugsTugi's Mongolian BERT model and other NLP experiments are included.

Machine Learning Development - News Classification NLP