Sentimentext is a browser extension that automatically warns users about those news articles that linguistically resemble the style of a fake news.
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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.
Text Search Demo Using Veri And Universal Sentence Encoders
Converts TXT files exported from Retriever Mediearkivet into JSON files with structured metadata
Script to get news articles from wayback machine
article collector utils for WE1S (WhatEvery1Says)
explanatory analysis of news articles with gensim
Scraping tweets and articles from news twitter handles. Can be used for teaser generation and news headline generation.
Scrape various German news sites for articles and comments. Store them in a DB and analyse both on their sentiment with various NLP solutions. The result can be viewed on a Grafana dashboard.
A simple algorithm for summarizing text
CS372 Natural Language Processing with Python, Project, 2020 Spring
A website designed to emotionally curate your news feed
Classify news articles
Text Summarization using Fuzzy Logic Scoring
A browser plugin that provides information about bias and credability in online journalism.
News Scraper App using Python and Beautiful Soup
Twitter bot to provide broader perspective (Server)
📰 A web application which categorizes news articles by sentiment
This project is an auto-filling text program implemented in Python using N-gram models. The program suggests the next word based on the input given by the user. It utilizes N-gram models, specifically Trigrams and Bigrams, to generate predictions.
Extraction of the five journalistic W-questions (5W) from news articles
A News Article Collection Library
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."