[HTML][HTML] SSCDV: Social media document embedding with sentiment and topics for financial market forecasting

K Ueda, H Suwa, M Yamada, Y Ogawa… - Expert Systems with …, 2024 - Elsevier
For reducing investment risks, predicting the volatility of financial markets is crucial. We
propose a method for effectively embedding social media posts to facilitate accurate …

Special Issue on Machine Learning and Natural Language Processing

M Mozgovoy, C Suero Montero - Applied Sciences, 2022 - mdpi.com
The task of processing natural language automatically has been on the radar of researchers
since the dawn of computing, fostering the rise of fields such as computational linguistics …

Meaning-Sensitive Text Data Augmentation with Intelligent Masking

B Kasthuriarachchy, M Chetty, A Shatte… - ACM Transactions on …, 2023 - dl.acm.org
With the recent popularity of applying large-scale deep neural network-based models for
natural language processing (NLP), attention to develop methods for text data augmentation …

Usefulness of Digital Language Resources in Improving Native Language among Adults

S Žilič Fišer, J Pavlič, I Kožuh - Applied Sciences, 2022 - mdpi.com
Important keys to effective communication are language competences, which can be
supported by using digital language resources. These usually assist the acquisition of a …

[PDF][PDF] Exploring the Digital Landscape of STEAM Learning Discourse: Insights from GPT-4 based Twitter Data Analysis

S Abdelhamid, E Bass - NEW PERSPECTIVES IN SCIENCE …, 2024 - researchgate.net
Twitter, now known as X, is a leading social networking and microblogging platform that
serves as a prolific data repository, capturing conversations on various topics through its …