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Deep learning for aspect-based sentiment analysis: a review [PDF]

open access: yesPeerJ Computer Science, 2022
User-generated content on various Internet platforms is growing explosively, and contains valuable information that helps decision-making. However, extracting this information accurately is still a challenge since there are massive amounts of data ...
Linan Zhu   +4 more
doaj   +5 more sources

Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training [PDF]

open access: hybridarXiv, 2021
Aspect-based sentiment analysis aims to identify the sentiment polarity of a specific aspect in product reviews. We notice that about 30% of reviews do not contain obvious opinion words, but still convey clear human-aware sentiment orientation, which is known as implicit sentiment.
Zhengyan Li   +4 more
arxiv   +5 more sources

Aspect Based Sentiment Analysis with Gated Convolutional Networks [PDF]

open access: greenProceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2018
Accepted in ACL ...
Wei Xue, Tao Li
semanticscholar   +7 more sources

A Survey on Multimodal Aspect-Based Sentiment Analysis

open access: yesIEEE Access
Multimodal Aspect-Based Sentiment Analysis (MABSA), as an emerging task in the field of sentiment analysis, has recently received widespread attention. Its aim is to combine relevant multimodal data to determine the sentiment polarity of a given aspect ...
Hua Zhao   +3 more
doaj   +3 more sources

A Unified Generative Framework for Aspect-based Sentiment Analysis [PDF]

open access: yesProceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021
Accepted by ACL 2021 (long paper)
Xipeng Qiu   +4 more
openaire   +5 more sources

Sentiment Difficulty in Aspect-Based Sentiment Analysis

open access: yesMathematics, 2023
Subjectivity is a key aspect of natural language understanding, especially in the context of user-generated text and conversational systems based on large language models. Natural language sentences often contain subjective elements, such as opinions and
Adrian-Gabriel Chifu   +1 more
doaj   +3 more sources

SemEval-2016 task 5 : aspect based sentiment analysis [PDF]

open access: yesInternational Workshop on Semantic Evaluation, 2016
International audienceThis paper describes the SemEval 2016 shared task on Aspect Based Sentiment Analysis (ABSA), a continuation of the respective tasks of 2014 and 2015.
Al-Ayyoub, Mahmoud   +17 more
core   +2 more sources

SemEval-2015 Task 12: Aspect Based Sentiment Analysis [PDF]

open access: hybridInternational Workshop on Semantic Evaluation, 2015
SemEval-2015 Task 12, a continuation of SemEval-2014 Task 4, aimed to foster research beyond sentenceor text-level sentiment classification towards Aspect Based Sentiment Analysis. The goal is to identify opinions expressed about specific entities (e.g.,
Maria Pontiki   +4 more
openalex   +2 more sources

Aspect-based Sentiment Analysis of Scientific Reviews [PDF]

open access: yesProceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020
Scientific papers are complex and understanding the usefulness of these papers requires prior knowledge. Peer reviews are comments on a paper provided by designated experts on that field and hold a substantial amount of information, not only for the ...
Dooly Daniel R   +8 more
core   +3 more sources

Aspect-Based Sentiment Analysis Approach with CNN [PDF]

open access: yesProceeding of the Electrical Engineering Computer Science and Informatics, 2019
Lots of research has been done on the domain of Sentiment Analysis, for example, research that conducted by Bing Liu's (2012) [1]. Other research conducted in a SemEval competition, the domain of sentiment analysis research has been developed further up ...
Mulyo, Budi M., Widyantoro, Dwi H.
core   +4 more sources

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