#sentiment analysis
8 papers match
From Minds to Models: The Intersection of Psychology and LLM Behaviours
Oliver Guidetti, Reza Ryan
The paper applies psychological methods, specifically a prompt-based Implicit Association Test, to examine whether ChatGPT exhibits sentiment differences across racial conditions,…
Beyond Sentiment: Structured Information Extraction from Financial News
Daohan Zhu, Sitong Ge, Ruofei Wang +4
The paper proposes a framework that uses a large language model to extract multiple semantic dimensions (event type, impact scope, temporal horizon, confidence, etc.) from financia…
Contextualized Early Detection of Online Firestorms: A Sequential LLM-Based Approach
Besim Shala, Peter Mandl, Andreas Humpe +1
The paper presents a large language model system that can both retrospectively classify Reddit threads for firestorms and provide early warnings by sequentially estimating negativi…
Measuring Sentiment News with Transformer-Based Language Models
Maria Saveria Mavillonio, Stefano Borgioli, Caterina Giannetti +2
The paper creates daily sentiment indices for financial news using the transformer model FinBERT and demonstrates that these indices align more closely with human judgments than tr…
How Much of a 10-K Matters? Aggregation-Dependent Value of Full-Text versus Risk-Factor Sentiment
Sanggyu Sean Choi
The paper develops a supervised lexicon‑learning method to extract sentiment from 10‑K filings and their Item 1A risk‑factor sections, training on return and volatility outcomes at…
Segregate, Refine, Integrate: Decomposing Multimodal Fusion for Sentiment Analysis
Alexios Filippakopoulos, Elias Kallioras, Nikolaos Xiros +2
The paper introduces SeRIn, a multimodal fusion architecture that separates modality-specific refinement from cross‑modal integration, improving sentiment analysis performance on b…
The Evolving Media Discourse on ChatGPT and Higher Education
Yinan Sun, Ali Unlu, Aditya Johri
The paper analyzes U.S. news media coverage of ChatGPT in higher education from 2022 to 2024, using temporal and sentiment analysis to show how narratives have shifted toward insti…
A Durability and Cross-Language Transfer Benchmark for a Validated Teaching-Feedback Classification Protocol
Esteban U. Vega Barajas
The paper re‑evaluates a validated protocol for classifying open‑ended teaching‑evaluation comments, testing newer representation methods and transferring the sentiment task from S…
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