Codebase, data and models for the Headline Grouping paper at NAACL2021
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Updated
Oct 2, 2022 - Python
Codebase, data and models for the Headline Grouping paper at NAACL2021
A tool that scrapes headlines from popular news sources and prints them side by side.
LSTM model to generate headlines built on character-based modeling.
Reads and displays all the important headlines from your chosen source. You can also change the speed rate as per your comfort. It works both with Windows and Linux OS.
Implementation of machine learning algorithm that classifies headlines of Israel Hayom and Haaretz newspapers.
A headline analyzer that computes the Sentiment as well as word distribution of the headlines, giving advice according to SEO marketing standards
A streaming engine for live fetching tweets into a MongoDB
code that fills data from the New-York Times for the Golden Goose project, which represents my endeavors at researching how to automate my personal investment strategies
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