A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis [PDF]
We explore how weak supervision on abundant unlabeled data can be leveraged to improve few-shot performance in aspect-based sentiment analysis (ABSA) tasks.
Ballesteros M. +7 more
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A Collaborative Platform to Support the Enterprise 2.0 in Active Interactions with Customers [PDF]
, 2012 In recent years a new model of Enterprise 2.0, which interacts actively with customers using web 2.0 tools (chat, forum, blog, wiki), is developing. The enterprises, listening opinions and suggestions of customers, can improve the product/service.
Domenico CONSOLI
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Entity-Aspect-Opinion-Sentiment Quadruple Extraction for Fine-grained Sentiment Analysis
, 2023 Product reviews often contain a large number of implicit aspects and object-attribute co-existence cases. Unfortunately, many existing studies in Aspect-Based Sentiment Analysis (ABSA) have overlooked this issue, which can make it difficult to extract ...
Cao, Xuezhi +4 more
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, 2023 Aspect-based sentiment Analysis (ABSA) delves into understanding sentiments specific to distinct elements within textual content. It aims to analyze user-generated reviews to determine a) the target entity being reviewed, b) the high-level aspect to ...
Chebolu, Siva Uday Sampreeth +3 more
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MEMD-ABSA: A Multi-Element Multi-Domain Dataset for Aspect-Based Sentiment Analysis
, 2023 Aspect-based sentiment analysis is a long-standing research interest in the field of opinion mining, and in recent years, researchers have gradually shifted their focus from simple ABSA subtasks to end-to-end multi-element ABSA tasks.
Cai, Hongjie +9 more
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CNM: An Interpretable Complex-valued Network for Matching
, 2019 This paper seeks to model human language by the mathematical framework of quantum physics. With the well-designed mathematical formulations in quantum physics, this framework unifies different linguistic units in a single complex-valued vector space, e.g.
Li, Qiuchi +2 more
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Sentence-level sentiment analysis based on supervised gradual machine learning. [PDF]
Sci Rep, 2023 Su J +5 more
europepmc +1 more source
Deep learning for aspect-based sentiment analysis: a review. [PDF]
PeerJ Comput Sci, 2022 Zhu L, Xu M, Bao Y, Xu Y, Kong X.
europepmc +1 more source
A deep learning approach for aspect sentiment triplet extraction in portuguese and spanish. [PDF]
, 2022 Jose de Jesus Meléndez Barros
openalex +1 more source
Deep Content Understanding Toward Entity and Aspect Target Sentiment Analysis on Foundation Models
Introducing Entity-Aspect Sentiment Triplet Extraction (EASTE), a novel Aspect-Based Sentiment Analysis (ABSA) task which extends Target-Aspect-Sentiment Detection (TASD) by separating aspect categories (e.g., food#quality) into pre-defined entities (e.g.
Basic, Milos +2 more
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