ANNs for Natural Language Processing
M. Ümit Uyar · 2025
This chapter presents a Natural Language Processing (NLP) application that attempts to identify a possible and typically unrevealed relationship between words presented in a content (e.g. speech, written document or text message) and external events happening in unrelated venues. NLP is often seen as an intersection between linguistics, computational disciplines and engineering and involves algorithmic analysis of natural languages. The chapter presents a simple example application of NLP, where an artificial neural network (ANN) is designed to explore a possible relationship between text messages sent by an individual and movements of stock market assets. Specifically, it analyzes the tweets from former US President Mr. Trump for their possible impact on financial securities listed in the S&P 500 index (Standard and Poor's 500Index), where the market values of 500 leading publicly traded companies in the USA are listed. ANNs are a natural fit for implementation of NLP algorithms for this task.