A Dexterity-based content type inspired on the News Industry Text Format specification
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Updated
Dec 20, 2021 - Python
A Dexterity-based content type inspired on the News Industry Text Format specification
To build a model to detect whether a sentence is sarcastic or not, using Bidirectional LSTMs
An NLP model to detect fake news and accurately classify a piece of news as REAL or FAKE trained on dataset provided by Kaggle.
ONE PAGE (simplified) version of News Data Summarizer App using Python
News Classification dataset consist of News articles of class "world", "sports", "business", and "Science"
News articles summraizer with HuggingFace and Gradio App
Google News links and content scraper for Python using Selenium and Newspaper3k. The first library I created.
Article Summary Machine: Shorten news articles without losing its meaning!
Website for Year 10 Literacy Studies 2023; news report for AI development
Developed a machine learning program to identify when an article might be fake news.
The idea is to develop a machine learning program to identify when an article might be fake news.
This is an attempt to predict the viralty of a news based on certain assumptions .This projects thus collects recent news and predict the viralty and thus the viralty factor of a news.
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