TY - GEN
T1 - Semantically Enriching Investor Micro-blogs for Opinion-Aware Emotion Analysis
T2 - 12th IEEE International Conference on Smart Computing Workshops and Other Affiliated Events, SMARTCOMP Companion 2026
AU - Negi, Gaurav
AU - Zayed, Omnia
AU - Serrano, Martin
AU - Buitelaar, Paul
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - While sentiment analysis is the staple of financial NLP, capturing the nuances of 'why' behind that sentiment remains a challenge. There have been attempts to address this by analysing investor emotions alongside sentiment; however, this does not provide the additional granularity required to understand the target of the emotion/sentiment. We address this by augmenting the StockEmotions dataset with semantically structured opinion graphs, which provide granular semantic depth to the existing sentiment and emotion labels. Using a declarative LLM pipeline, we augment the StockEmotions dataset with opinion graphs for each sentence and study the effect of introducing opinion semantics on baseline classifiers using Graph Neural Networks (GNNs). Our analysis demonstrates that incorporating opinion semantics improves classification performance across different emotional spectrums.
AB - While sentiment analysis is the staple of financial NLP, capturing the nuances of 'why' behind that sentiment remains a challenge. There have been attempts to address this by analysing investor emotions alongside sentiment; however, this does not provide the additional granularity required to understand the target of the emotion/sentiment. We address this by augmenting the StockEmotions dataset with semantically structured opinion graphs, which provide granular semantic depth to the existing sentiment and emotion labels. Using a declarative LLM pipeline, we augment the StockEmotions dataset with opinion graphs for each sentence and study the effect of introducing opinion semantics on baseline classifiers using Graph Neural Networks (GNNs). Our analysis demonstrates that incorporating opinion semantics improves classification performance across different emotional spectrums.
KW - Emotion Classification
KW - Financial NLP
KW - Graph Neural Networks
KW - Large Language Models
KW - Natural Language Processing
KW - Sentiment Analysis
KW - Zero-Shot Learning
UR - https://www.scopus.com/pages/publications/105047216787
U2 - 10.1109/SmartComp-Companion70724.2026.00045
DO - 10.1109/SmartComp-Companion70724.2026.00045
M3 - Conference Publication
AN - SCOPUS:105047216787
T3 - Proceedings - 2026 IEEE International Conference on Smart Computing Workshops and Other Affiliated Events, SMARTCOMP Companion 2026
SP - 165
EP - 170
BT - Proceedings - 2026 IEEE International Conference on Smart Computing Workshops and Other Affiliated Events, SMARTCOMP Companion 2026
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 22 June 2026 through 25 June 2026
ER -