Sentimentext is a browser extension that automatically warns users about those news articles that linguistically resemble the style of a fake news.
-
Updated
Sep 30, 2022 - Python
Sentimentext is a browser extension that automatically warns users about those news articles that linguistically resemble the style of a fake news.
Collection, geolocalisation and topic modeling on crime-related news articles
The project used to create the 2021 Tokyo Olympics data set
Text Mining and Sarcasm Detection on News Data
Text Search Demo Using Veri And Universal Sentence Encoders
Content Aggregator using Python
A news feed app built with React
Личный проект, в ходе которого построена модель для многоклассовой классификации тональности новостных статей на русском языке.
Implementation of K-Means algorithm in clustering the news articles with the help of PCA
News feed aggregator using k-means clustering
Converts TXT files exported from Retriever Mediearkivet into JSON files with structured metadata
Web UI for the data behind PicPic, an automatic image selection tool for news articles
Moroccan NLP Datasets and Corpora
This application brings you the latest news about business, food, tech ...etc. This app let users view and leave comments on the latest news.
Whats New Times is an application where a user can filter through which news article they would like to read
Script to get news articles from wayback machine
exploration of news articles from The Guardian
article collector utils for WE1S (WhatEvery1Says)
Add a description, image, and links to the news-articles topic page so that developers can more easily learn about it.
To associate your repository with the news-articles topic, visit your repo's landing page and select "manage topics."