three-factor theory and to build an Asymmetric Impact-Sentiment Analysis (AISA) for resource allocation prioritization. We …

Financial sentiment analysis is crucial for making informed decisions in the financial markets, as it helps predict … trends, guide investments, and assess economic conditions. Traditional methods for financial sentiment classification, such … advancements in deep learning, particularly transformer-based models like GPT and BERT, have significantly enhanced sentiment …

antecedents from the sentiment perspective, most of them focus on the effect size, without differentiating the distinct effects of … positive and negative sentiment. This study not only tests the association between positive (negative) sentiment and online … forwarding but also examines how the aforementioned association varies from sentiment dispersion, measured by the variance of …

positioning capital flows across countries. In this study, we aim to examine whether overall economic sentiment towards Turkish …-based sentiment index called "Turkish Economic Sentiment Index (TESI)", to capture the behavioral tendencies of international …) alongside major pull-push determinants to assess whether market sentiment holds discernible influence on capital influx into …

The aspect-based sentiment analysis of hotel reviews represents a critical yet underexplored area of research. Such … research in Aspect-Based Sentiment Analysis (ABSA) frequently employs word embedding techniques for feature extraction …