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

Classification of News articles with ML methods and Transformers

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

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

Sentence split, Text classfication, performanc analysis for NLP

News Recommendation System with Python

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.

Classified a dataset of Spam and Non-Spam text messages

Sentiment classification of movie reviews using lexicon, Naive Bayes & SVM

Supervised Machine Learning Text Classification Using NLP