Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/131904| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 黃瀚萱<br>陳宜秀 | zh_TW |
| dc.contributor.advisor | Huang, Hen-Hsen<br>Chen, Yi-Hsiu | en_US |
| dc.contributor.author | 姚璇亨 | zh_TW |
| dc.contributor.author | Yao, Hsuan-Heng | en_US |
| dc.creator | 姚璇亨 | zh_TW |
| dc.creator | Yao, Hsuan-Heng | en_US |
| dc.date | 2020 | en_US |
| dc.date.accessioned | 2020-09-02T05:08:46Z | - |
| dc.date.available | 2020-09-02T05:08:46Z | - |
| dc.date.issued | 2020-09-02T05:08:46Z | - |
| dc.identifier | G0107462012 | en_US |
| dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/131904 | - |
| dc.description | 碩士 | zh_TW |
| dc.description | 國立政治大學 | zh_TW |
| dc.description | 數位內容碩士學位學程 | zh_TW |
| dc.description | 107462012 | zh_TW |
| dc.description.abstract | 對食物、飲料的品味行為是人類文明發展與日常生活的重要元素。現今，基於機器學習與深度學習技術的發展與快速累積的多媒體資訊，透過輸入影像、聲音資料進行學習，便能為電腦模型建立對視覺、聽覺屬性一定程度的辨識與預測能力，相較之下，針對味覺與嗅覺屬性的相關研究則略顯缺乏。現今主流的味覺、嗅覺相關感知研究多來自食品科學界廣泛應用於消費品產業之感官分析方法，由受過專業訓練或業餘的測試者針對研究目標進行感官品評，以主觀感受給予評論、評分或排序，並建立對應之感官屬性資料以進行研究分析，然而，其研究成果易受限於評論者的主觀偏好與感知能力，在客觀性與通用性方面仍有改進空間。本研究以網際網路酒飲網站所提供專家感官品評資料與消費者評論文本為基礎，透過自然語言處理之情緒分析技術，建立兼具相對客觀參考價值與主觀感覺意義的分析途徑，並延伸應用與於公開資料集進行測試，期透過網際網路數位內容文本與資料探勘技術的整合運用，為品味相關研究領域帶來更具通用性與成本效益的研究方法。 | zh_TW |
| dc.description.tableofcontents | 第一章 緒論 5\n第二章 文獻探討 10\n2.1 感官分析研究 10\n2.2 情感計算 11\n2.3 以深度學習為基礎之情緒分析 13\n2.4 多類別分類任務 18\n第三章 研究方法 20\n3.1 研究方法架構 20\n3.2 資料集 23\n3.3 多類別分類模型設計 27\n3.4 多類別分類模型評估標準 29\n3.5 感官分析實驗設計 31\n3.6 感官分析實驗評估 34\n3.7 Yelp 資料集測試實驗設計與評估 37\n第四章 研究結果 40\n4.1 多類別分類模型評估 40\n4.2 電腦模型預測與一般消費者評測統計結果分析 43\n4.3 電腦模型預測與一般消費者評測感知模式相關性分析 46\n4.4 Yelp 資料集測試結果 48\n第五章 結論 51\n參考文獻 53 | zh_TW |
| dc.format.extent | 2332021 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.source.uri | http://thesis.lib.nccu.edu.tw/record/#G0107462012 | en_US |
| dc.subject | 自然語言處理 | zh_TW |
| dc.subject | 意見探勘 | zh_TW |
| dc.subject | 文本情緒分析 | zh_TW |
| dc.subject | 深度學習 | zh_TW |
| dc.subject | 情感計算 | zh_TW |
| dc.subject | 多類別分類 | zh_TW |
| dc.subject | 感官分析 | zh_TW |
| dc.subject | 感官品評 | zh_TW |
| dc.title | 基於感知屬性的品味分析： 以酒飲網站專業與消費者評論為例 | zh_TW |
| dc.title | Taste Analysis Based on Sensory Characteristics: a Case Study Using Expert and Consumer Reviews from an Alcoholic Beverage Website | en_US |
| dc.type | thesis | en_US |
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| dc.identifier.doi | 10.6814/NCCU202001553 | en_US |
| item.fulltext | With Fulltext | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_46ec | - |
| item.openairetype | thesis | - |
| item.grantfulltext | open | - |
| item.cerifentitytype | Publications | - |
| Appears in Collections: | 學位論文 學位論文 | |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| 201201.pdf | 2.28 MB | Adobe PDF2 | View/Open |
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