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Sentiment Analysis in the Era of Large Language Models: A Reality Check [PDF]
NAACL-HLT, 2023 Sentiment analysis (SA) has been a long-standing research area in natural language processing. It can offer rich insights into human sentiments and opinions and has thus seen considerable interest from both academia and industry. With the advent of large
Wenxuan Zhang +4 more
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A Unified Generative Framework for Aspect-based Sentiment Analysis [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Aspect-based Sentiment Analysis (ABSA) aims to identify the aspect terms, their corresponding sentiment polarities, and the opinion terms. There exist seven subtasks in ABSA.
Hang Yan +4 more
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Transforming Sentiment Analysis in the Financial Domain with ChatGPT [PDF]
Machine Learning with Applications, 2023 Financial sentiment analysis plays a crucial role in decoding market trends and guiding strategic trading decisions. Despite the deployment of advanced deep learning techniques and language models to refine sentiment analysis in finance, this study ...
G. Fatouros +4 more
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Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models [PDF]
International Conference on AI in Finance, 2023 Financial sentiment analysis is critical for valuation and investment decision-making. Traditional NLP models, however, are limited by their parameter size and the scope of their training datasets, which hampers their generalization capabilities and ...
Boyu Zhang +4 more
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A Study on Sentiment Analysis Techniques of Twitter Data
International Journal of Advanced Computer Science and Applications, 2023 The entire world is transforming quickly under the present innovations. The Internet has become a basic requirement for everybody with the Web being utilized in every field.
Abdullah Alsaeedi, M. Zubair
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Multimodal Sentiment Analysis With Image-Text Interaction Network
IEEE transactions on multimedia, 2023 More and more users are getting used to posting images and text on social networks to share their emotions or opinions. Accordingly, multimodal sentiment analysis has become a research topic of increasing interest in recent years.
Tong Zhu +5 more
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Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis [PDF]
Conference on Empirical Methods in Natural Language Processing, 2021 In multimodal sentiment analysis (MSA), the performance of a model highly depends on the quality of synthesized embeddings. These embeddings are generated from the upstream process called multimodal fusion, which aims to extract and combine the input ...
Wei Han, Hui Chen, Soujanya Poria
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A BERT Framework to Sentiment Analysis of Tweets
Italian National Conference on Sensors, 2023 Sentiment analysis has been widely used in microblogging sites such as Twitter in recent decades, where millions of users express their opinions and thoughts because of its short and simple manner of expression.
Abayomi Bello +2 more
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A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts [PDF]
Annual Meeting of the Association for Computational Linguistics, 2004 Sentiment analysis seeks to identify the viewpoint(s) underlying a text span; an example application is classifying a movie review as "thumbs up" or "thumbs down".
B. Pang, Lillian Lee
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A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2022 As an important fine-grained sentiment analysis problem, aspect-based sentiment analysis (ABSA), aiming to analyze and understand people's opinions at the aspect level, has been attracting considerable interest in the last decade.
Wenxuan Zhang +4 more
semanticscholar +1 more source