Search Results for author:
Found 7 papers, 0 papers with code
Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations
To this end, we propose and test a novel *Adaptive Cognitive Fit* [ACF] framework that explains the influence of information facets and AI-augmented information representations on human performance.
Textual Data Distributions: Kullback Leibler Textual Distributions Contrasts on GPT-2 Generated Texts, with Supervised, Unsupervised Learning on Vaccine & Market Topics & Sentiment
Efficient textual data distributions (TDD) alignment and generation are open research problems in textual analytics and NLP.
Transparency versus Performance in Financial Markets: The Role of CSR Communications
We found that in essence, the differences remained consistent and positive earnings firms were significantly more likely to disclose information about their ESG activities than their counterparts.
Feeling Like It is Time to Reopen Now? COVID-19 New Normal Scenarios based on Reopening Sentiment Analytics
This study analyzes public sentiment using Twitter Data, time-aligned to COVID-19, to identify dominant sentiment trends associated with the push to 'reopen' the economy.
COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification
Along with the Coronavirus pandemic, another crisis has manifested itself in the form of mass fear and panic phenomena, fueled by incomplete and often inaccurate information.
Information Token Driven Machine Learning for Electronic Markets: Performance Effects in Behavioral Financial Big Data Analytics
Behavioral finance data, a subset of FBD, is seeing exponential growth and this presents an unprecedented opportunity to study behavioral finance employing big data analytics methodologies.
Automating Discovery of Dominance in Synchronous Computer-Mediated Communication
These indicators are calculated with automatic and manual coding of text transcripts.
