A Joint Model for Extracting Latent Aspects and Their Ratings From Online Employee Reviews
The personal description of a company associated with job satisfaction, company culture, and opinions of senior leadership is available on workplace community websites. However, it is almost impossible to read all of the different and possibly even contradictory reviews and make an accurate overall...
Main Authors: | Zhuo-Ming Ren, Yue Zheng, Wen-Li Du, Xiao Pan |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-04-01
|
Series: | Frontiers in Physics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2022.822351/full |
Similar Items
-
A More Fine-Grained Aspect–Sentiment–Opinion Triplet Extraction Task
by: Yuncong Li, et al.
Published: (2023-07-01) -
A Hybrid Frequency Based, Syntax, and Conditional Random Field Method for Implicit and Explicit Aspect Extraction
by: Mohammad Mashrekul Kabir, et al.
Published: (2024-01-01) -
A Survey on Multimodal Aspect-Based Sentiment Analysis
by: Hua Zhao, et al.
Published: (2024-01-01) -
Extracting Customer Reviews from Online Shopping and Its Perspective on Product Design
by: Kieu Que Anh, et al.
Published: (2019-02-01) -
A Systematic Review on Implicit and Explicit Aspect Extraction in Sentiment Analysis
by: Jaafar Zubairu Maitama, et al.
Published: (2020-01-01)