Tools for automatic frame discovery and labeling based on topic modeling and deep learning, made widely accessible to researchers from non computational backgrounds.

AI Text Detection Web App identifies whether text is AI-generated or human-written. It offers unigram and bigram models, combining Logistic Regression, Naive Bayes, Random Forest, and LightGBM to provide accurate predictions based on text structure and context.

This repository allows Curated News users to see how our open source news headlines text classifier works and operates. It will also allow researchers and academics to vet and verify the strength of our modeling approaches.

Project Akhir Mata Kuliah Analisa Big Data untuk melakukan proses prediksi, klasifikasi, dan klasterisasi pada data Tanaman sehingga mendapatkan insight

This GitHub repository contains a Chrome extension project designed to filter out tweets containing defamation or slander on Twitter.

This project uses the language model API to identify and extract names, dates, and locations from text, functioning similarly to a named entity recognition (NER).

根据文本鉴定 网络小说 还是非网络小说

A web-based lyrics artist predictor, predicts the artist who sings the lyrics which the user had typed.

This project is a web-based spam detector built with Flask and a Multinomial Naive Bayes classifier from scikit-learn. It classifies messages as "Spam" or "Not Spam" based on a trained dataset. The application features a user-friendly interface that works seamlessly on both mobile and web platforms for real-time spam prediction.

A simple book recommender system made with NodeJS and mongoDB

Automatic classification of citizens' appeals. Authors: @Perevalov & @BobkovS