Aspect-based Sentiment Classification with Reinforced Dependency Graph
We proposed Reinforced Dependency Graph for Aspect-based Sentiment Classification (RDGSC), a reinforced dependency graph model for aspect-based sentiment classification. In this framework, we train a policy network using deep reinforcement learning and construct a reinforced dependency graph for asp...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Editorial Office of Journal of Taiyuan University of Technology
2022-03-01
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| Series: | Taiyuan Ligong Daxue xuebao |
| Subjects: | |
| Online Access: | https://tyutjournal.tyut.edu.cn/englishpaper/show-1683.html |
| _version_ | 1797208352410828800 |
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| author | Hongyang SONG Xiaofei ZHU Jiafeng GUO |
| author_facet | Hongyang SONG Xiaofei ZHU Jiafeng GUO |
| author_sort | Hongyang SONG |
| collection | DOAJ |
| description | We proposed Reinforced Dependency Graph for Aspect-based Sentiment Classification (RDGSC), a reinforced dependency graph model for aspect-based sentiment classification. In this framework, we train a policy network using deep reinforcement learning and construct a reinforced dependency graph for aspect-based sentiment classification. The graph attention network is used to fuse the aspect-related information in the text over the reinforced dependency graph. Each contextual representation is given an aspect-related attention weight through a retrieve-based attention mechanism. A refined final representation is obtained for classification and calculating delayed reward to guide the policy network to updates. Extensive experiments were conducted on five publicly available datasets, the results show that our method is superior to all the baseline methods in two evaluation indicators Accuracy and F1. |
| first_indexed | 2024-04-24T09:37:26Z |
| format | Article |
| id | doaj.art-5711b79847e74122b63d444a0d826705 |
| institution | Directory Open Access Journal |
| issn | 1007-9432 |
| language | English |
| last_indexed | 2024-04-24T09:37:26Z |
| publishDate | 2022-03-01 |
| publisher | Editorial Office of Journal of Taiyuan University of Technology |
| record_format | Article |
| series | Taiyuan Ligong Daxue xuebao |
| spelling | doaj.art-5711b79847e74122b63d444a0d8267052024-04-15T08:53:28ZengEditorial Office of Journal of Taiyuan University of TechnologyTaiyuan Ligong Daxue xuebao1007-94322022-03-0153224825610.16355/j.cnki.issn1007-9432tyut.2022.02.0081007-9432(2022)02-0248-09Aspect-based Sentiment Classification with Reinforced Dependency GraphHongyang SONG0Xiaofei ZHU1Jiafeng GUO2College of Computer Science and Engineering, Chongqing University of Technology, Chongqing 400054, ChinaCollege of Computer Science and Engineering, Chongqing University of Technology, Chongqing 400054, ChinaInstitute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, ChinaWe proposed Reinforced Dependency Graph for Aspect-based Sentiment Classification (RDGSC), a reinforced dependency graph model for aspect-based sentiment classification. In this framework, we train a policy network using deep reinforcement learning and construct a reinforced dependency graph for aspect-based sentiment classification. The graph attention network is used to fuse the aspect-related information in the text over the reinforced dependency graph. Each contextual representation is given an aspect-related attention weight through a retrieve-based attention mechanism. A refined final representation is obtained for classification and calculating delayed reward to guide the policy network to updates. Extensive experiments were conducted on five publicly available datasets, the results show that our method is superior to all the baseline methods in two evaluation indicators Accuracy and F1.https://tyutjournal.tyut.edu.cn/englishpaper/show-1683.htmlnatural language processingaspect-based sentiment classificationdeep reinforcement learninggraph attention networkdependency tree |
| spellingShingle | Hongyang SONG Xiaofei ZHU Jiafeng GUO Aspect-based Sentiment Classification with Reinforced Dependency Graph Taiyuan Ligong Daxue xuebao natural language processing aspect-based sentiment classification deep reinforcement learning graph attention network dependency tree |
| title | Aspect-based Sentiment Classification with Reinforced Dependency Graph |
| title_full | Aspect-based Sentiment Classification with Reinforced Dependency Graph |
| title_fullStr | Aspect-based Sentiment Classification with Reinforced Dependency Graph |
| title_full_unstemmed | Aspect-based Sentiment Classification with Reinforced Dependency Graph |
| title_short | Aspect-based Sentiment Classification with Reinforced Dependency Graph |
| title_sort | aspect based sentiment classification with reinforced dependency graph |
| topic | natural language processing aspect-based sentiment classification deep reinforcement learning graph attention network dependency tree |
| url | https://tyutjournal.tyut.edu.cn/englishpaper/show-1683.html |
| work_keys_str_mv | AT hongyangsong aspectbasedsentimentclassificationwithreinforceddependencygraph AT xiaofeizhu aspectbasedsentimentclassificationwithreinforceddependencygraph AT jiafengguo aspectbasedsentimentclassificationwithreinforceddependencygraph |