Results 41 to 50 of about 379,431 (345)

AoM: Detecting Aspect-oriented Information for Multimodal Aspect-Based Sentiment Analysis [PDF]

Annual Meeting of the Association for Computational Linguistics, 2023
Multimodal aspect-based sentiment analysis (MABSA) aims to extract aspects from text-image pairs and recognize their sentiments. Existing methods make great efforts to align the whole image to corresponding aspects.
Ru Zhou, Wenya Guo, Xumeng Liu, Shenglong Yu, Ying Zhang, Xiaojie Yuan   +5 more
semanticscholar   +1 more source

An Interactive Learning Network That Maintains Sentiment Consistency in End-to-End Aspect-Based Sentiment Analysis

Applied Sciences, 2023
Most of the aspect-based sentiment analysis research completes the two subtasks (aspect terms extraction and aspect sentiment classification) separately, and it cannot see the full picture and actual effect of the complete aspect-based sentiment analysis.
Musheng Chen, Qingrong Hua, Yaojun Mao, Junhua Wu   +3 more
doaj   +1 more source

InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis [PDF]

North American Chapter of the Association for Computational Linguistics, 2023
We introduce InstructABSA, an instruction learning paradigm for Aspect-Based Sentiment Analysis (ABSA) subtasks.Our method introduces positive, negative, and neutral examples to each training sample, and instruction tune the model (Tk-Instruct) for ABSA ...
Kevin Scaria, Himanshu Gupta, Saurabh Arjun Sawant, Swaroop Mishra, Chitta Baral   +4 more
semanticscholar   +1 more source

Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis [PDF]

AAAI Conference on Artificial Intelligence, 2019
Target-based sentiment analysis or aspect-based sentiment analysis (ABSA) refers to addressing various sentiment analysis tasks at a fine-grained level, which includes but is not limited to aspect extraction, aspect sentiment classification, and opinion ...
Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si   +5 more
semanticscholar   +1 more source

Interventional Aspect-Based Sentiment Analysis

, 2021
Recent neural-based aspect-based sentiment analysis approaches, though achieving promising improvement on benchmark datasets, have reported suffering from poor robustness when encountering confounder such as non-target aspects. In this paper, we take a causal view to addressing this issue.
Bi, Zhen, Zhang, Ningyu, Ye, Ganqiang, Yu, Haiyang, Chen, Xi, Chen, Huajun   +5 more
openaire   +2 more sources

SemEval-2014 Task 4: Aspect Based Sentiment Analysis

International Workshop on Semantic Evaluation, 2014
Sentiment analysis is increasingly viewed as a vital task both from an academic and a commercial standpoint. The majority of current approaches, however, attempt to detect the overall polarity of a sentence, paragraph, or text span, irrespective of the ...
Maria Pontiki, Dimitris Galanis, John Pavlopoulos, Haris Papageorgiou, Ion Androutsopoulos, S. Manandhar   +5 more
semanticscholar   +1 more source

Aspect Based Sentiment Analysis - Twitter

, 2022
<p>Due to the increased use and popularity of social media platforms in the most recent technological period, sentiment categorization has emerged as an important research area among those platforms. When it comes to Twitter, the main problem of previous research is, they all did a sentiment classification on the document level (Tweet level).
Jinan Fiaidhi, Vashishtha Upadhyay, AKASH LAKHANI   +2 more
openaire   +1 more source

SemEval-2016 Task 5: Aspect Based Sentiment Analysis

International Workshop on Semantic Evaluation, 2016
This paper describes the SemEval 2016 shared task on Aspect Based Sentiment Analysis (ABSA), a continuation of the respective tasks of 2014 and 2015. In its third year, the task provided 19 training and 20 testing datasets for 8 languages and 7 domains ...
Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, S. Manandhar, Ion Androutsopoulos, Núria Bel, Gülşen Eryiğit   +6 more
semanticscholar   +1 more source

Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa [PDF]

North American Chapter of the Association for Computational Linguistics, 2021
Aspect-based Sentiment Analysis (ABSA), aiming at predicting the polarities for aspects, is a fine-grained task in the field of sentiment analysis. Previous work showed syntactic information, e.g.
Junqi Dai, Hang Yan, Tianxiang Sun, Pengfei Liu, Xipeng Qiu   +4 more
semanticscholar   +1 more source

Weakly Supervised Learning Approach for Implicit Aspect Extraction

Information, 2023
Aspect-based sentiment analysis (ABSA) is a process to extract an aspect of a product from a customer review and identify its polarity. Most previous studies of ABSA focused on explicit aspects, but implicit aspects have not yet been the subject of much ...
Aye Aye Mar, Kiyoaki Shirai, Natthawut Kertkeidkachorn   +2 more
doaj   +1 more source