Results 31 to 40 of about 24,177,706 (292)

A disentangled linguistic graph model for explainable aspect-based sentiment analysis

open access: yes, 2023
Aspect-based sentiment analysis (ABSA) aims to use interactions between aspect terms and their contexts to predict sentiment polarity for given aspects in sentences.
Zhou, Yougen   +5 more
core   +1 more source

Aspect-Based Sentiment Classification with Attentive Neural Turing Machines [PDF]

open access: yesProceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Aspect-based sentiment classification aims to identify sentiment polarity expressed towards a given opinion target in a sentence. The sentiment polarity of the target is not only highly determined by sentiment semantic context but also correlated with the concerned opinion target.
Qianren Mao   +6 more
openaire   +2 more sources

GP-GCN: Global features of orthogonal projection and local dependency fused graph convolutional networks for aspect-level sentiment classification

open access: yesConnection Science, 2022
Aspect-level sentiment classification, a significant task of fine-grained sentiment analysis, aims to identify the sentimental information expressed in each aspect of a given sentence The existing methods combine global features and local structures to ...
Subo Wei   +4 more
doaj   +1 more source

Sentiment analysis:towards a tool for analysing real-time students feedback [PDF]

open access: yes, 2014
Students' real-time feedback has numerous advantages in education, however, analysing feedback while teaching is both stressful and time consuming. To address this problem, we propose to analyse feedback automatically using sentiment analysis.
Fallahkhair, Sanaz; id_orcid   +6 more
core   +1 more source

Multimodal Aspect-Based Sentiment Analysis Method Based on Image Perception Enhancement [PDF]

open access: yesJisuanji kexue yu tansuo
Multimodal aspect-based sentiment analysis (MABSA) aims to integrate multimodal information to accurately identify the sentiment tendencies of specific aspects.
WANG Jiaxing, ZHANG Wanqi, YAN Hang, SONG Zhenfeng
doaj   +1 more source

Improving sentiment analysis with learning concepts from concept, patterns lexicons and negations

open access: yesAin Shams Engineering Journal, 2022
The way of expressing sentiment (−ve/+ve) in the form of textual information depends on the way of thinking of human beings. Identifying aspect extraction and sentiment polarity from written texts is a crucial task.
Anima Pradhan   +2 more
doaj   +1 more source

Exploring ChatGPT-Based Augmentation Strategies for Contrastive Aspect-Based Sentiment Analysis [PDF]

open access: yes
Aspect-based sentiment analysis (ABSA) involves identifying sentiment toward specific aspect terms in a sentence and allows us to uncover people's nuanced perspectives and attitudes on particular aspects of a product, service, or topic.
Xu, Lingling   +4 more
core   +1 more source

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   +1 more source

Domain-Level Pairwise Semantic Interaction for Aspect-Based Sentiment Classification

open access: yes, 2022
Aspect-based sentiment classification (ABSC) is a very challenging subtask of sentiment analysis (SA) and suffers badly from the class-imbalance. Existing methods only process sentences independently, without considering the domain-level relationship between sentences, and fail to provide effective solutions to the problem of class-imbalance.
Zhenxin Wu   +5 more
openaire   +3 more sources

Sentiment Difficulty in Aspect-Based Sentiment Analysis

open access: yes, 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
Fournier, Sébastien   +3 more
core   +1 more source

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