Results 31 to 40 of about 5,741,184 (344)
A Joint Model for Extracting Latent Aspects and Their Ratings From Online Employee Reviews
Frontiers in Physics, 2022 The personal description of a company associated with job satisfaction, company culture, and opinions of senior leadership is available on workplace community websites.
Zhuo-Ming Ren +3 more
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Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction [PDF]
Annual Meeting of the Association for Computational Linguistics, 2018 One key task of fine-grained sentiment analysis of product reviews is to extract product aspects or features that users have expressed opinions on. This paper focuses on supervised aspect extraction using deep learning.
Hu Xu, B. Liu, Lei Shu, Philip S. Yu
semanticscholar +1 more source
Unsupervised Semantic Approach of Aspect-Based Sentiment Analysis for Large-Scale User Reviews
IEEE Access, 2020 Aspect-based sentiment analysis (ABSA) has recently attracted increasing attention due to its extensive applications. Most of the existing ABSA methods been applied on small-sized labeled datasets.
Sumaia Mohammed Al-Ghuribi +2 more
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Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction [PDF]
AAAI Conference on Artificial Intelligence, 2021 Automatic identification of salient aspects from user reviews is especially useful for opinion analysis. There has been significant progress in utilizing weakly supervised approaches, which require only a small set of seed words for training aspect ...
Chang-You Tai, Ming Li, Lun-Wei Ku
semanticscholar +1 more source
Comparison of Topic Modelling Approaches in the Banking Context
Applied Sciences, 2023 Topic modelling is a prominent task for automatic topic extraction in many applications such as sentiment analysis and recommendation systems. The approach is vital for service industries to monitor their customer discussions.
Bayode Ogunleye +4 more
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Implicit and Explicit Aspect Extraction in Financial Microblogs [PDF]
Proceedings of the First Workshop on Economics and Natural Language Processing, 2018 This paper focuses on aspect extraction which is a sub-task of Aspect-based Sen- timent Analysis. The goal is to report an extraction method of financial aspects in microblog messages. Our approach uses a stock-investment taxonomy for the iden- tification of explicit and implicit aspects.
Gaillat, Thomas +5 more
openaire +4 more sources
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023 Social Media has revolutionized how individuals, groups, and communities interact. This immense quantity of unstructured data holds valuable information expressed in informal language.
Julia da Rocha Junqueira +6 more
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A More Fine-Grained Aspect–Sentiment–Opinion Triplet Extraction Task
Mathematics, 2023 Sentiment analysis aims to systematically study affective states and subjective information in digital text through computational methods. Aspect Sentiment Triplet Extraction (ASTE), a subtask of sentiment analysis, aims to extract aspect term, sentiment
Yuncong Li, Fang Wang, Sheng-hua Zhong
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Joint Aspect Extraction and Sentiment Analysis with Directional Graph Convolutional Networks
International Conference on Computational Linguistics, 2020 End-to-end aspect-based sentiment analysis (EASA) consists of two sub-tasks: the first extracts the aspect terms in a sentence and the second predicts the sentiment polarities for such terms.
Guimin Chen, Yuanhe Tian, Yan Song
semanticscholar +1 more source
Informatics, 2018 Online reviews are an important source of opinion to measure products’ quality. Hence, automated opinion mining is used to extract important features (aspect) and related comments (sentiment).
Noor Rizvana Ahamed Kabeer +2 more
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