Using NLP on news headlines to predict index trends
arXiv:1806.09533v110 citations
Originality Synthesis-oriented
AI Analysis
This addresses trend prediction for financial analysts, but appears incremental as it reviews existing methods without claiming new breakthroughs.
The paper tackled predicting DJIA index trends using NLP on news headlines, employing statistical and deep learning models with various embedding techniques, but no concrete results or numbers were reported.
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.