  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.
