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| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 謝俊霖(Choon-Ling Sia) | |
| dc.contributor.author | TA-LI SU | en |
| dc.contributor.author | 蘇達立 | zh_TW |
| dc.date.accessioned | 2022-11-24T03:33:10Z | - |
| dc.date.available | 2021-08-16 | |
| dc.date.available | 2022-11-24T03:33:10Z | - |
| dc.date.copyright | 2021-08-16 | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2021-08-10 | |
| dc.identifier.citation | Ady, M. and D. Quadri-Felitti (2015). 'Consumer research identifies how to present travel review content for more bookings.' Retrieved form http://webcache. googleusercontent. com/search. Bakshi, R. K., et al. (2016). Opinion mining and sentiment analysis. 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), IEEE. Brysbaert, M., et al. (2014). 'Concreteness ratings for 40 thousand generally known English word lemmas.' Behavior research methods 46(3): 904-911. Cheung, C. M. and D. R. Thadani (2012). 'The impact of electronic word-of-mouth communication: A literature analysis and integrative model.' Decision Support Systems 54(1): 461-470. Chevalier, J. A. and D. Mayzlin (2006). 'The effect of word of mouth on sales: Online book reviews.' Journal of marketing research 43(3): 345-354. Daugherty, T., et al. (2008). 'Exploring consumer motivations for creating user-generated content.' Journal of interactive advertising 8(2): 16-25. Devlin, J., et al. (2018). 'Bert: Pre-training of deep bidirectional transformers for language understanding.' arXiv preprint arXiv:1810.04805. Fang, X. and J. Zhan (2015). 'Sentiment analysis using product review data.' Journal of Big Data 2(1): 5. Franke, N. and F. T. Piller (2003). 'Key research issues in user interaction with user toolkits in a mass customisation system.' International Journal of Technology Management 26(5-6): 578-599. Hu, Y.-H., et al. (2017). 'Opinion mining from online hotel reviews–a text summarization approach.' Information Processing Management 53(2): 436-449. Jin, J., et al. (2014). Recommending rating values on reviews for designers. Encyclopedia of Business Analytics and Optimization, IGI Global: 1998-2009. Krumm, J., et al. (2008). 'User-generated content.' IEEE Pervasive Computing 7(4): 10-11. Lim, E.-P., et al. (2010). Detecting product review spammers using rating behaviors. Proceedings of the 19th ACM international conference on Information and knowledge management. Liu, B. (2012). 'Sentiment analysis and opinion mining.' Synthesis lectures on human language technologies 5(1): 1-167. Liu, Y., et al. (2013). 'Identifying helpful online reviews: a product designer’s perspective.' Computer-Aided Design 45(2): 180-194. Mayzlin, D., et al. (2014). 'Promotional reviews: An empirical investigation of online review manipulation.' American Economic Review 104(8): 2421-2455. Papathanassis, A. and F. Knolle (2011). 'Exploring the adoption and processing of online holiday reviews: A grounded theory approach.' Tourism Management 32(2): 215-224. Park, S.-H., et al. (2020). Emotion Recognition from Text Stories Using an Emotion Embedding Model. 2020 IEEE International Conference on Big Data and Smart Computing (BigComp), IEEE. Peng, C.-H., et al. (2020). 'More than Words in Medical Question-and-Answer Sites: A Content-Context Congruence Perspective.' Information Systems Research. Plutchik, R. (1980). A general psychoevolutionary theory of emotion. Theories of emotion, Elsevier: 3-33. Qi, J., et al. (2016). 'Mining customer requirements from online reviews: A product improvement perspective.' Information Management 53(8): 951-963. Qiu, G., et al. (2009). Expanding domain sentiment lexicon through double propagation. IJCAI, Citeseer. Sailunaz, K., et al. (2018). 'Emotion detection from text and speech: a survey.' Social Network Analysis and Mining 8(1): 28. Schumpeter, J. and U. Backhaus (2003). The theory of economic development. Joseph Alois Schumpeter, Springer: 61-116. Senecal, S. and J. Nantel (2004). 'The influence of online product recommendations on consumers’ online choices.' Journal of retailing 80(2): 159-169. Trope, Y. and N. Liberman (2010). 'Construal-level theory of psychological distance.' Psychological review 117(2): 440. von Helversen, B., et al. (2018). 'Influence of consumer reviews on online purchasing decisions in older and younger adults.' Decision Support Systems 113: 1-10. Xu, Z., et al. (2016). 'Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective.' Journal of Business Research 69(5): 1562-1566. Zhang, L., et al. (2010). Extracting and ranking product features in opinion documents. Coling 2010: Posters. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/81151 | - |
| dc.description.abstract | "本論文的研究動機旨在透過評論中隱藏的情緒來找出這些情緒對於未來商品設計之影響，本論文以使用者評論為資料，以情緒分析的方式找出未來影響商品設計之關鍵情緒，本論文主要的商品為智慧型手機市場，使用者評論的平台為amazon、gsmarena,使用之情緒分類模型為BERT，再經由情緒分析後發現，憤怒的情緒不管是在市佔率以及未來產品功能皆相較於其他情緒有更大的影響。本次的研究相較於之前相關領域的研究不同的是，本論文以情緒分析作為判定情緒的方法，相較以往以情感分析的方式更為的細緻，另外在評論重要程度的方面，本論文參考了先前的研究使用了文字具體性作為是判別重要性的依據之一。 本研究的實驗結果在未來可以提供商品開發人員在進行未來產品開發時有個更好的參考依據，並同時以自動化的方式分析使用這對於產品的輿情，能夠在有限的開發周期內擬定功能開發的順序，產出完好的設計取向! " | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-24T03:33:10Z (GMT). No. of bitstreams: 1 U0001-0608202122094600.pdf: 3031642 bytes, checksum: e756c2de6e129e9f22615bd0c7fd0067 (MD5) Previous issue date: 2021 | en |
| dc.description.tableofcontents | 論文口試委員審定書 i 謝辭 v 中文摘要 vi Abstract vii LIST OF TABLES x LIST OF FIGURES xii Chapter 1 Chapter 1 Introduction 1 1.1 Research Background 1 1.2 Research Motivation 2 1.3 Research Contribution 4 Chapter 2 Literature Review 7 2.1 Online product reviews and innovation of product design 7 2.2 The impact of comments on user purchase intentions 7 2.3 Research on the application of sentiment analysis to opinion exploration 9 2.4 Emotion And Product Reviews 14 2.5 Spamming Reviews Detection 17 2.6 Product Feature Extraction 17 Chapter 3 Methodology 20 3.1 Proposed Model 20 3.2 Product feature extraction 22 3.3 Review Concreteness Analysis 26 3.4 Emotion Analysis On Product Reviews 29 3.4.1 BERT in Emotional analysis 30 3.5 Data Description 33 3.5.1 Training Dataset 33 3.5.2 Choose of Product Review Dataset: 34 Chapter 4 Experiment 36 4.1 Data Preprocessing 36 4.2 Emotion Classification Model 36 4.3 Important Review Extraction 41 4.4 Product Feature Extraction 43 Chapter 5 Result and Conclusion 51 5.1 Result 51 5.2 Other Brand’s Result 59 5.3 Conclusion 68 Chapter 6 Future works 70 REFERENCE 71 Appendix Iphone X Feature List 74 Appendix Iphone 11 Feature List: 76 Appendix ASUS Zenfone7 Pro Feature List: 78 Appendix ASUS Zenfone 6 Pro Feature List: 83 Appendix Google Pixel 4a Feature List: 83 Appendix Google Pixel 5 Feature List 86 Appendix Samsung S20 Feature List 90 Appendix Samsung S21 Feature List 94 | |
| dc.language.iso | en | |
| dc.subject | 機器學習 | zh_TW |
| dc.subject | 線上評論 | zh_TW |
| dc.subject | 情緒分析 | zh_TW |
| dc.subject | 自然語言處理 | zh_TW |
| dc.subject | 產品開發設計 | zh_TW |
| dc.subject | Online Review | en |
| dc.subject | Nature Language Processing | en |
| dc.subject | BERT | en |
| dc.subject | Product Design | en |
| dc.subject | Emotional Analysis | en |
| dc.title | 以情緒分析探討使用者評論對商品未來設計之影響 | zh_TW |
| dc.title | Finding Product Future Design Based On Emotional Analysis On Product Review | en |
| dc.date.schoolyear | 109-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 彭志宏(Hsin-Tsai Liu),魏志平(Chih-Yang Tseng) | |
| dc.subject.keyword | 線上評論,情緒分析,自然語言處理,產品開發設計,機器學習, | zh_TW |
| dc.subject.keyword | Online Review,Emotional Analysis,Product Design,BERT,Nature Language Processing, | en |
| dc.relation.page | 100 | |
| dc.identifier.doi | 10.6342/NTU202102165 | |
| dc.rights.note | 同意授權(限校園內公開) | |
| dc.date.accepted | 2021-08-11 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 資訊管理學研究所 | zh_TW |
| Appears in Collections: | 資訊管理學系 | |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| U0001-0608202122094600.pdf Access limited in NTU ip range | 2.96 MB | Adobe PDF |
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