[HTML][HTML] SSCDV: Social media document embedding with sentiment and topics for financial market forecasting
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 …
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 …
since the dawn of computing, fostering the rise of fields such as computational linguistics …
Meaning-Sensitive Text Data Augmentation with Intelligent Masking
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 …
natural language processing (NLP), attention to develop methods for text data augmentation …
Usefulness of Digital Language Resources in Improving Native Language among Adults
Important keys to effective communication are language competences, which can be
supported by using digital language resources. These usually assist the acquisition of a …
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 …
serves as a prolific data repository, capturing conversations on various topics through its …