Language Analytics for Finance and FinTech

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Authors: Juraj Hric, Yiping Lin
Cited by: 0

Abstract

The purpose of this chapter is to introduce the reader to one specific advanced tool to be added to the finance and FinTech Toolkit: long short term memory recurrent network (LSTM) . We maintain our role as participants in the DDF Station #3 Model Selection. Based on our previous description of the DDF Model Design station in “ Chapter 2 , Data Management for FinTech,” at this phase, we are building and creating models that can accurately forecast future outcomes. The success of these models results in the clarity and parsimony of the results. A clear and concise model design can help businesses make informed decisions and stay ahead of the competition. The model design workstation utilizes advanced techniques such as neural networks and chatbots to create models that are both efficient and effective.

Fields of Study & Subjects

Stock Market Forecasting Methods Topic Modeling Sentiment Analysis and Opinion Mining

Publication details

Journal / source
Routledge eBooks
Pages
234–264
Publication date
19 January 2026
Language
EN
Document type
Book chapter