Deep Learning Using Context Vectors to Identify Implicit Aspects-Reference-Cited by-同舟云学术

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Deep Learning Using Context Vectors to Identify Implicit Aspects

Published:2023 Issue: Volume:11 Page:39385-39393
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Le Thi Thuy¹,Tran Thien Khai²^ORCID,Phan Tuoi Thi³^ORCID

Affiliation:

1. Industrial University of Ho Chi Minh City, Ho Chi Minh City, Vietnam

2. Ho Chi Minh City University of Foreign Languages-Information Technology (HUFLIT), Ho Chi Minh City, Vietnam

3. Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Vietnam

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10103872.pdf?arnumber=10103872

Reference30 articles.

1. Unsupervised model for aspect categorization and implicit aspect extraction

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

3. Sentiment analysis in textual, visual and multimodal inputs using recurrent neural networks

4. Product aspect identification: Analyzing role of different classifiers

5. Sentiment Analysis of Weibo Comments Based on Graph Neural Network

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