This paper comprehensively examines Large Language Models (LLMs) in sentiment analysis, specifically focusing on financial markets and exploring the correlation between news sentiment and Bitcoin prices. We systematically categorize various LLMs used in financial sentiment analysis, highlighting their unique applications and features. We also inves...
Published in Cybernetics and Information Technologies
The rapid growth of Internet-enabled applications, such as social media platforms, e-commerce sites, and blogs, has led to a surge in user-generated content. This vast amount of data has made sentiment analysis increasingly valuable. Modern Aspect-Based Sentiment Analysis (ABSA) offers a more detailed approach by identifying sentiment trends relate...
Published in SAECULUM
This article used OpenAI Chat GPT 3.5’s sentiment analysis capabilities to evaluate 595 Facebook posts written by seven renowned Romanian journalists. Our main objectives were to: 1) Assess the journalists’ use of Facebook regarding journalism, including its effectiveness in promoting quality articles, combating disinformation, and facilitating exp...
Published in International conference KNOWLEDGE-BASED ORGANIZATION
This paper investigates the effectiveness of sentiment analysis (SA) methods, ranging from rule-based approaches to deep learning architectures, in analysing textual data. The study focuses on three Python libraries: TextBlob, VADER, and Flair, evaluating their accuracy on a public dataset of Twitter posts. Additionally, custom neural network archi...
Published in BMC public health
Thyroid cancer overdiagnosis is a major public health issue in South Korea, which has the highest incidence rate. The accessibility of information through the Internet, particularly on YouTube, could potentially impact excessive screening. This study aimed to analyze the content of thyroid cancer-related YouTube videos, particularly those from 2016...
Abstract: This study examines how the sentiment values in the first part of the book entitled as “Underground” of Fyodor Dostoevsky’s ”Notes from Underground” change from words to sentences to paragraphs. Using the GPT-4 language model, we conducted a descriptive analysis of standardized sentiment values and calculated cumulative binned values of t...
Published in Public Health Genomics
Introduction: Noninvasive prenatal testing (NIPT) can be used to detect fetal chromosomal abnormalities early in pregnancy. As eligibility criteria broaden and screening targets expand, gauging public acceptability of NIPT becomes increasingly important. Leveraging social media as a rich source of public discourse, the purpose of this study was to ...
Published in Molecular breeding : new strategies in plant improvement
Yield and quality are two crucial breeding objects of wheat therein grain weight and grain protein content (GPC) are two key relevant factors correspondingly. Investigations of their genetic mechanisms represent special significance for breeding. In this study, 199 F2 plants and corresponding F2:3 families derived from Nongda3753 (ND3753) and its E...
Time can be a more practical and informal metric than distance when planning activities, but perceptions of walking duration can vary greatly depending on, for instance, the physical fitness of the individual walking, the topography of the route, or the weather conditions at the time of the walk. This investigation gathers 4,970 Twitter responses t...
Nowadays, various applications across industries, healthcare, and security have begun adopting automatic sentiment analysis and emotion detection in short texts, such as posts from social media. Twitter stands out as one of the most popular online social media platforms due to its easy, unique, and advanced accessibility using the API. On the other...
