Torii: An aspect‐based sentiment analysis system that can mine conditions-Reference-Cited by-同舟云学术

Torii: An aspect‐based sentiment analysis system that can mine conditions

Published:2019-11-12 Issue:1 Volume:50 Page:47-64
ISSN:0038-0644
Container-title:Software: Practice and Experience
language:en
Short-container-title:Softw: Pract Exper

Author:

Gallego Fernando O.¹^ORCID,Corchuelo Rafael¹^ORCID

Affiliation:

1. Escuela Técnica Superior de Ingeniería InformáticaUniversity of Seville Seville Spain

Publisher

Wiley

Subject

Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/spe.2762

Reference31 articles.

1. A new web personalization decision-support artifact for utility-sensitive customer review analysis

2. Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review

3. EtzioniO FaderA ChristensenJ SoderlandS Mausam.Open information extraction: the second generation. Paper presented at: Twenty‐Second International Joint Conference on Artificial Intelligence (IJCAI);2011;Barcelona Spain.

4. MitchellTM CohenWW HruschkaER et al.Never‐ending learning. In: Proceedings of the Twenty‐Ninth AAAI Conference on Artificial Intelligence (AAAI);2015;Austin TX.

5. W2VLDA: Almost unsupervised system for Aspect Based Sentiment Analysis

Cited by 4 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 systematic review and research contributions on aspect-based sentiment analysis using twitter data;Intelligent Decision Technologies;2023-11-20

2. Hybrid Multichannel-Based Deep Models Using Deep Features for Feature-Oriented Sentiment Analysis;Sustainability;2023-04-26

3. Short Text Sentiment Classification Using Bayesian and Deep Neural Networks;Electronics;2023-03-28

4. Gender-based multi-aspect sentiment detection using multilabel learning;Information Sciences;2022-08