Automatic classification of citizens' appeals. Authors: @Perevalov & @BobkovS
-
Updated
Jul 26, 2019 - CSS
Automatic classification of citizens' appeals. Authors: @Perevalov & @BobkovS
A web-based lyrics artist predictor, predicts the artist who sings the lyrics which the user had typed.
A simple book recommender system made with NodeJS and mongoDB
Tools for automatic frame discovery and labeling based on topic modeling and deep learning, made widely accessible to researchers from non computational backgrounds.
Emotion Detection from Text | Machine Learning | React.js & PyScript.js
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.
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).
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.
Add a description, image, and links to the text-classification topic page so that developers can more easily learn about it.
To associate your repository with the text-classification topic, visit your repo's landing page and select "manage topics."