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

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 …

There has been significant interest in integrating sentiment analysis with graph neural networks (GNNs) for stock … prediction tasks. This article thoroughly reviews the application of GNNs in conjunction with sentiment analysis for stock … prediction. This study introduces the fundamental concepts of GNNs and sentiment analysis, emphasizing their respective …

it is challenging and requires more effort to cope with its rich morphological structure to perform a Sentiment Analysis … task. This study proposes a Turkish text sentiment analysis methodology for estimating people's satisfaction with Turkish … triple parallel Convolutional Neural Network (CNN) branch, achieving exceptional accuracy in sentiment analysis of Turkish …