Using NLP on news headlines to predict index trends

06/22/2018
by   Marc Velay, et al.
0

This paper attempts to provide a state of the art in trend prediction using news headlines. We present the research done on predicting DJIA trends using Natural Language Processing. We will explain the different algorithms we have used as well as the various embedding techniques attempted. We rely on statistical and deep learning models in order to extract information from the corpuses.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/09/2017

Recent Trends in Deep Learning Based Natural Language Processing

Deep learning methods employ multiple processing layers to learn hierarc...
research
09/12/2019

Visualizing Trends of Key Roles in News Articles

There are tons of news articles generated every day reflecting the activ...
research
09/21/2021

A Comprehensive Review on Summarizing Financial News Using Deep Learning

Investors make investment decisions depending on several factors such as...
research
08/16/2021

An NLP approach to quantify dynamic salience of predefined topics in a text corpus

The proliferation of news media available online simultaneously presents...
research
08/06/2017

Rookie: A unique approach for exploring news archives

News archives are an invaluable primary source for placing current event...
research
12/26/2019

Quantifying the Trendiness of Trends

A statement often seen in the news concerning some public health outcome...
research
04/10/2018

Deep Learning for Digital Text Analytics: Sentiment Analysis

In today's scenario, imagining a world without negativity is something v...

Please sign up or login with your details

Forgot password? Click here to reset