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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 鄭士康(Shyh-Kang Jeng) | |
| dc.contributor.author | Pei-Jun Liao | en |
| dc.contributor.author | 廖沛俊 | zh_TW |
| dc.date.accessioned | 2021-05-13T08:40:18Z | - |
| dc.date.available | 2021-03-08 | |
| dc.date.available | 2021-05-13T08:40:18Z | - |
| dc.date.copyright | 2016-03-08 | |
| dc.date.issued | 2016 | |
| dc.date.submitted | 2016-02-02 | |
| dc.identifier.citation | [1] M. Hu and B. Liu, “Mining and summarizing customer reviews,” Proc. 2004 ACM SIGKDD Int. Conf. Knowl. Discov. data Min. KDD 04, vol. 04, p. 168, 2004.
[2] X. Ding, X. Ding, B. Liu, B. Liu, P. S. Yu, and P. S. Yu, “A holistic lexicon-based approach to opinion mining,” Proc. Int. Conf. Web search web data Min. - WSDM ’08, p. 231, 2008. [3] S. S. Sohail, J. Siddiqui, and R. Ali, “Book recommendation system using opinion mining technique,” 2013 Int. Conf. Adv. Comput. Commun. Informatics, pp. 1609–1614, 2013. [4] 謝鎮宇(國立交通大學), “國 立 交 通 大 學 資訊學院 資訊學程 碩 士 論 文.” [5] 邱鴻達(國立交通大學), “國 立 交 通 大 學 資訊科學與工程研究所 碩 士 論 文.” [6] C. L. Liu, W. H. Hsaio, C. H. Lee, G. C. Lu, and E. Jou, “Movie Rating and Review Summarization in Mobile Environment,” Ieee Trans. Syst. Man Cybern. Part C-Applications Rev., vol. 42, no. 3, pp. 397–407, 2012. [7] C. Wang, “Opinion Mining Research on Chinese Micro-blog,” no. 2013, pp. 115–120, 2015. [8] C. D. Manning and H. Schutze, “Foundations of Statistical Natural Language Processing,” 1999. [9] K. M. G. A. Miller, R. Beckwith, C. D. Fellbaum, D. Gross, “WordNet: An online lexical database. Int. J. Lexicograph. 3, 4, pp. 235–244.,” pp. 1–9, 2011. [10] 黃居仁陳克健, “中央研究院漢語料庫.” [11] P. D. Turney, “Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews,” Proc. 40th Annu. Meet. Assoc. Comput. Linguist., no. July, pp. 417–424, 2002. [12] Q. Dong, “HowNet,” 1988. [13] 梅家駒、竺一鳴、高蘊琦與殷鴻翔 1983, “同義詞詞林,” p. 1983, 1983. [14] 朱嫣岚, 闵锦, 周雅倩, 黄萱菁, and 吴立德, “基于HowNet的词汇语义倾向计算,” 中文信息学报, vol. 1. pp. 14–20, 2006. [15] M.-C. de Marneffe, C. D. Manning, and C. Potts, “‘Was it good? It was provocative.’ Learning the meaning of scalar adjectives,” ACL ’10 Proc. 48th Annu. Meet. Assoc. Comput. Linguist., pp. 167–176, 2010. [16] K. Yessenov and S. Misailovi, “Sentiment Analysis of Movie Review Comments 6.863,” Methodology, pp. 1–17, 2009. [17] H. P. Luhn, “A Statistical Approach to Mechanized Encoding and Searching of Literary Information,” IBM J. Res. Dev., vol. 1, no. 4, pp. 309–317, 1957. [18] K. S. Jones, “A statistical interpretation of term specificity and its application in retrieval,” J. Doc., vol. 60, no. 5, pp. 493–502, 2004. [19] 楊遠 , 香港天健出版社1962., “標點符號研究,” p. 1962, 1962. [20] 陳克健、黃淑齡、施悅音、陳怡君, “多層次概念定義與複雜關係表達－繁體字知網的新增架構,” no. 2, pp. 1–13, 2001. [21] “結巴斷詞 https://github.com/fxsjy/jieba.” . [22] T. X. Jingbo Zhu, Muhua Zhu, _ Qiang Wang, “NiuParser : A Chinese Syntactic and Semantic Parsing Toolkit,” Proc. 53rd Annu. Meet. Assoc. Comput. Linguist. 7th Int. Jt. Conf. Nat. Lang. Process. (Volume 1 Long Pap., pp. 145–150, 2015. [23] L.-W. K. andHsin-H. Chen, “Mining opinions from the Web: Beyond relevance retrieval,” Int. Rev. Res. Open Distance Learn., vol. 14, no. 4, pp. 90–103, 2013. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/4007 | - |
| dc.description.abstract | 現在的出版作品，有許多的管道通路可以推廣，而隨著市場的擴大，許多的作家及出版業者也想加入並占有一席之地，知道讀者愛好的趨勢潮流是必須的，網路的作品評論是一個參考的重要指標，許多研究利用關鍵字抽取及句型結構分析等自然語言處理的方法來直接分析評論中支持或反對作品的程度。然而，在劇情類型作品評論判定的過程中時常遇到表示意見的關鍵詞彙並不是用於作品本身評論而是作品中情節之文字描述，為此，本論文在解決此問題上提出使用詞性標註與句型結構樹及文句間關聯性質來做處理，在本篇論文中不同於以往的研究是單純建立意見特徵字典，在本篇論文中我們提出了建立劇情字典來幫助我們將純劇情文句分開以排除作品內容對於意見判斷的干擾而達到改善意見判定正確率的目標。 | zh_TW |
| dc.description.abstract | In recent years, there are many author and publishing house want to join the market of cartoon, comic, and novel. So, they may want to find what type of book do readers like. In the Internet, there are so many critics and impressions in it. They may become important indicator to help finding the stream of market. Many researches use key word extraction and analysis of sentence structure. However, in the critics or impressions, we can find the sentence of story discussing or statement in them. It may make us finding the opinion sentence more difficult. In this paper, we use POS tagging and Parsing Tree and relation between nearby sentence to solve this problem. Different from the former work that only had opinion feature word dictionary, we construct a story feature word dictionary to help us taking the story sentence apart. It can improve the accuracy of opinion judgment. | en |
| dc.description.provenance | Made available in DSpace on 2021-05-13T08:40:18Z (GMT). No. of bitstreams: 1 ntu-105-R02942138-1.pdf: 2753298 bytes, checksum: 867d545a670cc72a16bc8e25a5ecabe1 (MD5) Previous issue date: 2016 | en |
| dc.description.tableofcontents | 目 錄
口試委員審定書 i 致謝 ii 中文摘要 iii 英文摘要 iii 目錄 iv 第一章 緒論 1 1.1目的與動機 1 1.2文獻回顧 2 1.3本論文貢獻 5 1.4論文架構 5 第二章 背景知識原理 6 2.1自然語言處理 6 2.2意見探勘 10 第三章 遭遇問題與解決方法 15 3.1問題討論與解決方法 15 3.2系統架構 18 3.3系統設計與演算法 20 第四章 系統實現 31 4.1總體實現 31 4.2單句意見判斷與字典 32 第五章 模擬實驗與討論 43 5.1實驗與結果討論 43 5.2作品評論系統展示 50 第六章 結論 54 參考文獻 55 | |
| dc.language.iso | zh-TW | |
| dc.subject | 情感分析 | zh_TW |
| dc.subject | 自然語言處理 | zh_TW |
| dc.subject | 意見探勘 | zh_TW |
| dc.subject | Sentiment Analysis | en |
| dc.subject | Natural Language Processing | en |
| dc.subject | Opinion Mining | en |
| dc.title | 去除劇情干擾的動漫與輕小說評論支持度分析系統 | zh_TW |
| dc.title | A Review Analysis System for Cartoon, Comic, and Light-Novel without Interference of Words Describing the Plot | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 104-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 陳信希(Hsin-Hsi Chen),李宏毅(Hung-yi Lee) | |
| dc.subject.keyword | 自然語言處理,意見探勘,情感分析, | zh_TW |
| dc.subject.keyword | Natural Language Processing,Opinion Mining,Sentiment Analysis, | en |
| dc.relation.page | 56 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2016-02-02 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
| 顯示於系所單位： | 電信工程學研究所 | |
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| ntu-105-1.pdf | 2.69 MB | Adobe PDF | 檢視/開啟 |
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