ALDONAr: A hybrid solution for sentence-level aspect-based sentiment analysis using a lexicalized domain ontology and a regularized neural attention model-Reference-Cited by-同舟云学术

ALDONAr: A hybrid solution for sentence-level aspect-based sentiment analysis using a lexicalized domain ontology and a regularized neural attention model

Published:2020-05 Issue:3 Volume:57 Page:102211
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Meškelė Donatas,Frasincar Flavius

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference39 articles.

1. Fine-grained analysis of sentence embeddings using auxilary prediction tasks;Adi;CoRR,2016

2. Automatic ontology-based knowledge extraction from web documents;Alani;IEEE Intelligent Systems,2003

3. Affective computing and sentiment analysis;Cambria;IEEE Intelligent Systems,2016

4. Recurrent attention network on memory for aspect sentiment analysis;Chen,2017

5. Aspect extraction with automated prior knowledge learning;Chen,2014

Cited by 89 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A survey on personalized document-level sentiment analysis;Neurocomputing;2024-12

2. Distilroberta2gnn: a new hybrid deep learning approach for aspect-based sentiment analysis;PeerJ Computer Science;2024-08-16

3. Considerations on sentiment of social network posts as a feature of destructive impacts;AI Communications;2024-08-13

4. An empirical study of Multimodal Entity-Based Sentiment Analysis with ChatGPT: Improving in-context learning via entity-aware contrastive learning;Information Processing & Management;2024-07

5. Query-induced multi-task decomposition and enhanced learning for aspect-based sentiment quadruple prediction;Engineering Applications of Artificial Intelligence;2024-07