Is ChatGPT a good sentiment analyzer? A preliminary study
Recently, ChatGPT has drawn great attention from both the research community and the
public. We are particularly interested in whether it can serve as a universal sentiment …
public. We are particularly interested in whether it can serve as a universal sentiment …
Efficient utilization of pre-trained models: A review of sentiment analysis via prompt learning
K Bu, Y Liu, X Ju - Knowledge-Based Systems, 2023 - Elsevier
Sentiment analysis is one of the traditional well-known tasks in Natural Language
Processing (NLP) research. In recent years, Pre-trained Models (PMs) have become one of …
Processing (NLP) research. In recent years, Pre-trained Models (PMs) have become one of …
Reasoning implicit sentiment with chain-of-thought prompting
While sentiment analysis systems try to determine the sentiment polarities of given targets
based on the key opinion expressions in input texts, in implicit sentiment analysis (ISA) the …
based on the key opinion expressions in input texts, in implicit sentiment analysis (ISA) the …
Revisiting disentanglement and fusion on modality and context in conversational multimodal emotion recognition
It has been a hot research topic to enable machines to understand human emotions in
multimodal contexts under dialogue scenarios, which is tasked with multimodal emotion …
multimodal contexts under dialogue scenarios, which is tasked with multimodal emotion …
Diaasq: A benchmark of conversational aspect-based sentiment quadruple analysis
The rapid development of aspect-based sentiment analysis (ABSA) within recent decades
shows great potential for real-world society. The current ABSA works, however, are mostly …
shows great potential for real-world society. The current ABSA works, however, are mostly …
Constructing holistic spatio-temporal scene graph for video semantic role labeling
As one of the core video semantic understanding tasks, Video Semantic Role Labeling
(VidSRL) aims to detect the salient events from given videos, by recognizing the predict …
(VidSRL) aims to detect the salient events from given videos, by recognizing the predict …
Retrieval contrastive learning for aspect-level sentiment classification
Abstract Aspect-Level Sentiment Classification (ALSC) aims to assign specific sentiments to
a sentence toward different aspects, which is one of the crucial challenges in the field of …
a sentence toward different aspects, which is one of the crucial challenges in the field of …
Joint alignment of multi-task feature and label spaces for emotion cause pair extraction
Emotion cause pair extraction (ECPE), as one of the derived subtasks of emotion cause
analysis (ECA), shares rich inter-related features with emotion extraction (EE) and cause …
analysis (ECA), shares rich inter-related features with emotion extraction (EE) and cause …
NLP Sentiment Analysis and Accounting Transparency: A New Era of Financial Record Keeping
Transparency in financial reporting is crucial for maintaining trust in financial markets, yet
fraudulent financial statements remain challenging to detect and prevent. This study …
fraudulent financial statements remain challenging to detect and prevent. This study …
Syngen: A syntactic plug-and-play module for generative aspect-based sentiment analysis
Aspect-based Sentiment Analysis (ABSA) is a sentiment analysis task at fine-grained level.
Recently, generative frameworks have attracted increasing attention in ABSA due to their …
Recently, generative frameworks have attracted increasing attention in ABSA due to their …