This project is an NLP (Natural Language Processing) application that classifies BBC news articles into different genres, including sports, politics, entertainment, business, and technology. The classification is done using two different techniques: LSTM and GRU.

AI that automatically classify whether or not a word in a given sentence is complex.

Text Classification

Text mining, Text classification, Applied ML algorithm

This repo demonstrates how to perform topic classification and modeling using Natural Language Processing.

Classification of News articles with ML methods and Transformers

2209678 NLP SYS Final Project created by Natchanon Pollertlam & Vichayuth Saelao

An NLP-based Text (News) Classifier developed using TensorFlow, LSTM, Keras, Scikit-Learn, and Python.

My solution to the practicals of Oxford Deep Learning NLP 2017

Using Natural Language Processing tools from NLTK and various modeling approaches from scikit-learn to classify news articles as "real" or "fake" news.

Some tasks in NLP: Text Classification and Machine Translation

TextCNN, Chinese text data mining, 中文文本数据挖掘

Sentence split, Text classfication, performanc analysis for NLP

News Recommendation System with Python

This repo contains code for toxic comment classification using deep learning models based on recurrent neural networks and transformers like BERT. The goal is to detect and classify toxic comments in online conversations using Jigsaw's Toxic Comment Classification dataset.

语义相似度 解决类别不平衡或长尾问题

News detection and prediction are two important aspects of news analytics. News detection involves identifying and categorizing news articles based on their topic, sentiment, source, and other relevant factors.News prediction involves forecasting future events based on the analysis of past news articles.