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The topic of aspect-based sentiment analysis (ABSA) has been explored for a variety of industries, but it still remains much unexplored in finance. The recent release of data for an open challenge (FiQA) from the companion proceedings of…

计算与语言 · 计算机科学 2018-08-27 Steve Yang , Jason Rosenfeld , Jacques Makutonin

Aspect-based sentiment analysis (ABSA) is a widely studied topic, most often trained through supervision from human annotations of opinionated texts. These fine-grained annotations include identifying aspects towards which a user expresses…

计算与语言 · 计算机科学 2023-10-12 Kasturi Bhattacharjee , Rashmi Gangadharaiah

Targeted sentiment analysis (TSA), also known as aspect based sentiment analysis (ABSA), aims at detecting fine-grained sentiment polarity towards targets in a given opinion document. Due to the lack of labeled datasets and effective…

计算与语言 · 计算机科学 2019-05-10 Jiaxin Pei , Aixin Sun , Chenliang Li

Aspect-based sentiment analysis (ABSA), a fine-grained sentiment classification task, has received much attention recently. Many works investigate sentiment information through opinion words, such as ''good'' and ''bad''. However, implicit…

计算与语言 · 计算机科学 2023-12-19 Jihong Ouyang , Zhiyao Yang , Silong Liang , Bing Wang , Yimeng Wang , Ximing Li

This paper presents a novel approach for explainability in financial analysis by deriving financially-explainable statistical relationships through aspect-based sentiment analysis, Pearson correlation, Granger causality & uncertainty…

计算与语言 · 计算机科学 2024-10-16 Keane Ong , Wihan van der Heever , Ranjan Satapathy , Erik Cambria , Gianmarco Mengaldo

Aspect Based Sentiment Analysis (ABSA) is the sub-field of Natural Language Processing that deals with essentially splitting our data into aspects ad finally extracting the sentiment information. ABSA is known to provide more information…

计算与语言 · 计算机科学 2020-06-09 Kaustubh Yadav

Since the dawn of the digitalisation era, customer feedback and online reviews are unequivocally major sources of insights for businesses. Consequently, conducting comparative analyses of such sources has become the de facto modus operandi…

Aspect-Based Sentiment Analysis (ABSA) is a fine-grained linguistics problem that entails the extraction of multifaceted aspects, opinions, and sentiments from the given text. Both standalone and compound ABSA tasks have been extensively…

计算与语言 · 计算机科学 2025-07-18 S M Rafiuddin , Mohammed Rakib , Sadia Kamal , Arunkumar Bagavathi

Aspect-based sentiment analysis (ABSA) aims to predict the sentiment expressed in a review with respect to a given aspect. The core of ABSA is to model the interaction between the context and given aspect to extract the aspect-related…

计算与语言 · 计算机科学 2022-04-22 Bowen Xing , Ivor W. Tsang

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. To handle…

计算与语言 · 计算机科学 2022-11-08 Wenxuan Zhang , Xin Li , Yang Deng , Lidong Bing , Wai Lam

Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis task which aims to extract the aspects from sentences and identify their corresponding sentiments. Aspect term extraction (ATE) is the crucial step for ABSA. Due to…

计算与语言 · 计算机科学 2022-02-01 Xiang Chen , Xiaojun Wan

Aspect-based sentiment analysis (ABSA) aims to associate a text with a set of aspects and infer their respective sentimental polarities. State-of-the-art approaches are built on fine-tuning pre-trained language models, focusing on learning…

计算与语言 · 计算机科学 2024-08-26 Murtadha Ahmed , Bo Wen , Shengfeng Pan , Jianlin Su , Luo Ao , Yunfeng Liu

Aspect-Based Sentiment Analysis (ABSA) has been prominent and ongoing research over many different domains, but it is not widely discussed in the legal domain. A number of publicly available datasets for a wide range of domains usually…

Aspect-based sentiment analysis (ABSA) aims at analyzing the sentiment of a given aspect in a sentence. Recently, neural network-based methods have achieved promising results in existing ABSA datasets. However, these datasets tend to…

计算与语言 · 计算机科学 2020-11-03 Zhen Wu , Chengcan Ying , Xinyu Dai , Shujian Huang , Jiajun Chen

Aspect-Based Sentiment Analysis (ABSA) provides a fine-grained understanding of opinions by linking sentiment to specific aspects in text. While transformer-based models excel at this task, their black-box nature limits their…

统计方法学 · 统计学 2026-02-24 Luisa Stracqualursi , Patrizia Agati

Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis task that aims to align aspects and corresponding sentiments for aspect-specific sentiment polarity inference. It is challenging because a sentence may contain…

计算与语言 · 计算机科学 2022-07-18 Shuo Liang , Wei Wei , Xian-Ling Mao , Fei Wang , Zhiyong He

Aspect Based Sentiment Analysis (ABSA) is the task of identifying sentiment polarity of a text given another text segment or aspect. In ABSA, a text can have multiple sentiments depending upon each aspect. Aspect Term Sentiment Analysis…

计算与语言 · 计算机科学 2020-05-05 Avinash Madasu , Vijjini Anvesh Rao

Due to the breathtaking growth of social media or newspaper user comments, online product reviews comments, sentiment analysis (SA) has captured substantial interest from the researchers. With the fast increase of domain, SA work aims not…

计算与语言 · 计算机科学 2020-12-02 Mahfuz Ahmed Masum , Sheikh Junayed Ahmed , Ayesha Tasnim , Md Saiful Islam

Aspect-based-sentiment-analysis (ABSA) is a fine-grained sentiment evaluation task, which analyzes the emotional polarity of the evaluation aspects. Generally, the emotional polarity of an aspect exists in the corresponding opinion…

计算与语言 · 计算机科学 2023-10-10 Dongming Wu , Lulu Wen , Chao Chen , Zhaoshu Shi

Aspect based sentiment analysis (ABSA) can provide more detailed information than general sentiment analysis, because it aims to predict the sentiment polarities of the given aspects or entities in text. We summarize previous approaches…

计算与语言 · 计算机科学 2018-05-21 Wei Xue , Tao Li
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