Results 31 to 40 of about 448,200 (183)

Improving Aspect Term Extraction With Bidirectional Dependency Tree Representation [PDF]

open access: yesIEEE/ACM Transactions on Audio, Speech, and Language Processing, 2019
Aspect term extraction is one of the important subtasks in aspect-based sentiment analysis. Previous studies have shown that using dependency tree structure representation is promising for this task. However, most dependency tree structures involve only one directional propagation on the dependency tree.
Huaishao Luo   +4 more
openaire   +2 more sources

ASPECT EXTRACTION IN E-COMMERCE USING LATENT DIRICHLET ALLOCATION (LDA) WITH TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY (TF-IDF)

open access: yesJurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2022
Social media is a common thing that people use. Posts or comments found on social media describe someone’s feelings and opinions so there have to be important topics that can be extracted from social media.
Satyawan Agung Nugroho   +2 more
doaj   +1 more source

Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction

open access: yesWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 2022
Domain adaptation methods often exploit domain-transferable input features, a.k.a. pivots. The task of Aspect and Opinion Term Extraction presents a special challenge for domain transfer: while opinion terms largely transfer across domains, aspects ...
Ayal Klein   +5 more
semanticscholar   +1 more source

Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2020
Aspect term extraction aims to extract aspect terms from review texts as opinion targets for sentiment analysis. One of the big challenges with this task is the lack of sufficient annotated data.
Kun Li   +4 more
semanticscholar   +1 more source

Design and Implementation of Aspect-Based Sentiment Analysis Task

open access: yesComputer Sciences & Mathematics Forum, 2023
This paper presents the design and implementation of a deep-learning-based aspect-level sentiment analysis model for the aspect term extraction and sentiment polarity classification of Chinese text comments.
Ningyi Zhang
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

Cross-Domain Aspect Term Extraction Fusing Global and Local Semantics [PDF]

open access: yesJisuanji gongcheng
Aspect Term Extraction (ATE) is a critical task in aspect-level sentiment analysis, and extraction and annotation costs are extremely high. When training and testing samples come from different domains, the performance of traditional methods often ...
LIU Dage, YOU Jinguo, GENG Qiqi
doaj   +1 more source

Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction [PDF]

open access: yesProceedings of the 28th International Conference on Computational Linguistics, 2020
A fundamental task of fine-grained sentiment analysis is aspect and opinion terms extraction. Supervised-learning approaches have shown good results for this task; however, they fail to scale across domains where labeled data is lacking. Non pre-trained unsupervised domain adaptation methods that incorporate external linguistic knowledge have proven ...
Oren Pereg   +2 more
openaire   +1 more source

Mining aspects of customer’s review on the social network

open access: yesJournal of Big Data, 2019
This study represents an efficient method for extracting product aspects from customer reviews and give solutions for inferring aspect ratings and aspect weights.
Tu Nguyen Thi Ngoc   +2 more
doaj   +1 more source

Comprehensive analysis of aspect term extraction methods using various text embeddings [PDF]

open access: yesComputer Speech & Language, 2021
Recently, a variety of model designs and methods have blossomed in the context of the sentiment analysis domain. However, there is still a lack of wide and comprehensive studies of aspect-based sentiment analysis (ABSA). We want to fill this gap and propose a comparison with ablation analysis of aspect term extraction using various text embedding ...
Augustyniak, Łukasz   +2 more
openaire   +2 more sources

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