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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/82293完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 李瑞庭(Anthony J.T. Lee) | |
| dc.contributor.author | Yen-Chu Lin | en |
| dc.contributor.author | 林晏竹 | zh_TW |
| dc.date.accessioned | 2022-11-25T06:35:10Z | - |
| dc.date.copyright | 2021-11-10 | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2021-09-15 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/82293 | - |
| dc.description.abstract | 網路上的產品評論對於消費者的購買行為，以及他們對品牌的認知有顯著的影響。由於，產品評論的數量快速增加，使得企業與消費者難以全面掌握所有評論的內容。因此，開發自動產生產品評論摘要的方法是不可獲缺的，它可以幫助企業與消費者，無需看過所有評論，就能快速掌握消費者的意見。在本研究中，我們提出了一個研究架構，從產品評論集中自動生成每個產品特徵的摘要。我們的研究架構包含三個階段。首先，我們對產品評論集進行處理，並從處理後的產品評論集中，找出每個產品特徵的特徵序列。接著，我們從處理後的產品評論集中，找出情感特徵序列。最後，根據前兩個階段所找出的產品和情感特徵序列，我們設計了一個稱為RS-GAN的生成對抗網路模型，從處理後的產品評論集中，生成每個產品特徵的摘要。實驗結果顯示，我們的方法優於比較方法，並可生成有組織、流暢且語法正確的摘要。本研究可以幫助企業和消費者取得具洞察力的資訊，並幫助他們快速了解用戶的回饋。 | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-25T06:35:10Z (GMT). No. of bitstreams: 1 U0001-1509202112435600.pdf: 3040404 bytes, checksum: f5f5460568f280ea74877b03df5d4d84 (MD5) Previous issue date: 2021 | en |
| dc.description.tableofcontents | Table of Contents i List of Figures ii List of Tables iii Chapter 1 Introduction 1 Chapter 2 Related Work 4 Chapter 3 The Proposed Framework 8 3.1. Aspect Feature Vectors 8 3.2. Sentiment Feature Vectors 10 3.3. Generative Adversarial Network 11 Chapter 4 Experimental Results 18 4.1. Dataset 18 4.2. Experimental Settings 19 4.3. Performance Evaluation 21 4.3.1. Automatic Evaluation 22 4.3.2. Human Evaluation 24 4.3.3. Generated Examples 28 Chapter 5 Conclusions and Future Work 31 References 34 | |
| dc.language.iso | en | |
| dc.subject | 注意力機制 | zh_TW |
| dc.subject | 產品評論摘要 | zh_TW |
| dc.subject | 生成對抗網路 | zh_TW |
| dc.subject | 序列到序列模型 | zh_TW |
| dc.subject | product review summarization | en |
| dc.subject | attention mechanism | en |
| dc.subject | generative adversarial network | en |
| dc.subject | sequence to sequence model | en |
| dc.title | 運用生成對抗網路產生產品評論摘要 | zh_TW |
| dc.title | Product Review Summarization by Generative Adversarial Networks | en |
| dc.date.schoolyear | 109-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 劉敦仁(Hsin-Tsai Liu),柯士文(Chih-Yang Tseng) | |
| dc.subject.keyword | 產品評論摘要,生成對抗網路,注意力機制,序列到序列模型, | zh_TW |
| dc.subject.keyword | product review summarization,generative adversarial network,attention mechanism,sequence to sequence model, | en |
| dc.relation.page | 41 | |
| dc.identifier.doi | 10.6342/NTU202103190 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2021-09-16 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 資訊管理學研究所 | zh_TW |
| dc.date.embargo-lift | 2026-09-16 | - |
| 顯示於系所單位： | 資訊管理學系 | |
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|---|---|---|---|
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