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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   +4 more sources

A Systematic Review on Implicit and Explicit Aspect Extraction in Sentiment Analysis [PDF]

IEEE Access, 2020
Aspect-based sentiment analysis (ABSA) is currently among the most vigorous areas in natural language processing (NLP). Individuals, private and government institutions are increasingly using media sources for decision making.
Jaafar Zubairu Maitama, Norisma Idris, Asad Abdi, Liyana Shuib, Rosmadi Fauzi   +4 more
doaj   +4 more sources

Graph-enhanced implicit aspect-level sentiment analysis based on multi-prompt fusion [PDF]

Scientific Reports
Implicit Aspect-Level Sentiment Analysis aims to identify aspect items and opinion items that do not appear in unstructured text. These items can be analyzed based on the semantics of the text.
Xu Li, Xinlong Wang, Chunlong Yao, Yang Li   +3 more
doaj   +3 more sources

TEGAA: transformer-enhanced graph aspect analyzer with semantic contrastive learning for implicit aspect detection [PDF]

Frontiers in Artificial Intelligence
Implicit aspect detection aims to identify aspect categories that are not explicitly mentioned in text, but existing models struggle with four persistent challenges: aspect ambiguity, where multiple latent aspects are implied by the same expression, data
Piyush Kumar Soni, Radhakrishna Rambola
doaj   +2 more sources

Modeling and Reasoning over Distributed Systems using Aspect-Oriented Graph Grammars [PDF]

Electronic Proceedings in Theoretical Computer Science, 2010
Aspect-orientation is a relatively new paradigm that introduces abstractions to modularize the implementation of system-wide policies. It is based on a composition operation, called aspect weaving, that implicitly modifies a base system by performing ...
Rodrigo Machado, Reiko Heckel, Leila Ribeiro   +2 more
doaj   +4 more sources

A Survey on Implicit Aspect Detection for Sentiment Analysis: Terminology, Issues, and Scope

IEEE Access, 2022
Sentiment analysis or opinion mining has come forth as an attractive research field in the past few years. Sentiment analysis extracts sentiments from the text for analysis and aggregation at different levels of detail. In aspect-level sentiment analysis,
Piyush Kumar Soni, Radhakrishna Rambola
doaj   +3 more sources

A Hybrid Frequency Based, Syntax, and Conditional Random Field Method for Implicit and Explicit Aspect Extraction

IEEE Access
Aspect extraction is the most important factor influencing the quality of Aspect-Based Sentiment Analysis (ABSA). Aspect extractions are divided into three approaches: supervised, unsupervised, and hybrid methods.
Mohammad Mashrekul Kabir, Zulaiha Ali Othman, Mohd Ridzwan Yaakub   +2 more
doaj   +3 more sources

An experimental study on the performance of collaborative filtering based on user reviews for large-scale datasets [PDF]

PeerJ Computer Science, 2023
Collaborative filtering (CF) approaches generate user recommendations based on user similarities. These similarities are calculated based on the overall (explicit) user ratings. However, in some domains, such ratings may be sparse or unavailable.
Sumaia AL-Ghuribi, Shahrul Azman Mohd Noah, Mawal Mohammed   +2 more
doaj   +2 more sources

Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions [PDF]

Proceedings 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
Product reviews contain a large number of implicit aspects and implicit opinions. However, most of the existing studies in aspect-based sentiment analysis ignored this problem. In this work, we introduce a new task, named Aspect-Category-Opinion-Sentiment (ACOS) Quadruple Extraction, with the goal to extract all aspect-category-opinion-sentiment ...
Hongjie Cai, Rui Xia, Jianfei Yu
openaire   +1 more source

Deep Learning Using Context Vectors to Identify Implicit Aspects

IEEE Access, 2023
Aspects extraction is the key task in the sentiment analysis problem, which includes extraction of both explicit and implicit aspects. Identifying implicit aspects is not a new task in sentiment analysis, but it still presents many challenges.
Thuy Le Thi, Thien Khai Tran, Tuoi Thi Phan   +2 more
doaj   +1 more source