Luận văn thạc sĩ VNU UET transductive support vector machines for cross lingual sentiment classification
➤ Gửi thông báo lỗi ⚠️ Báo cáo tài liệu vi phạmNội dung chi tiết: Luận văn thạc sĩ VNU UET transductive support vector machines for cross lingual sentiment classification
Luận văn thạc sĩ VNU UET transductive support vector machines for cross lingual sentiment classification
Transductive Support Vector Machines for Cross-lingual Sentiment ClassificationIcongINguyen Thi Thuy LinkFaculty of Information Technology University Luận văn thạc sĩ VNU UET transductive support vector machines for cross lingual sentiment classification of Engineering and TechnologyVietnam National University, HanoiSupervised byProfessor Ha Quang ThuyA thesis submitted in fulfillment of the requirements for the degree of Master of Computer Science December. 2009ORIGINALITY STATEMENT‘I hereby declare that I llis submission is my own work anil Io th Luận văn thạc sĩ VNU UET transductive support vector machines for cross lingual sentiment classification e best of my knowledge it contains no materials previously published or written by another person, or sulwtanlial proportions of material which have bLuận văn thạc sĩ VNU UET transductive support vector machines for cross lingual sentiment classification
een accepted for (.he award of any other degree or diploma at University of Engineering and Technology any other educational institution, except whereTransductive Support Vector Machines for Cross-lingual Sentiment ClassificationIcongINguyen Thi Thuy LinkFaculty of Information Technology University Luận văn thạc sĩ VNU UET transductive support vector machines for cross lingual sentiment classification xtent that assistance from others in the project’s design and conception or in style, presentation and linguistic expression is acknowledged.’Signed................................1AbstractSeal intent classification lias been much attention and has many useful applications on business and intelligen Luận văn thạc sĩ VNU UET transductive support vector machines for cross lingual sentiment classification ce. This thesis investigates sentiment classification problem employing machine learning technique. Since the limit of Vietnamese sentiment corpus, whLuận văn thạc sĩ VNU UET transductive support vector machines for cross lingual sentiment classification
ile there are many available English sentiment corpus on the Web. Wo combine English corpora as training data and a number of unlabeled Vietnamese datTransductive Support Vector Machines for Cross-lingual Sentiment ClassificationIcongINguyen Thi Thuy LinkFaculty of Information Technology University Luận văn thạc sĩ VNU UET transductive support vector machines for cross lingual sentiment classification e types of features to obtain the best performance.The results show that semi-supervised classifier are quite good in leveraging cross-lingual corpus to compare with the classifier without cross-lingual corpus. In term of features, we find that using only unigram model turning out the outperfor-mace Luận văn thạc sĩ VNU UET transductive support vector machines for cross lingual sentiment classification .AcknowledgementsI’m grateful to my advisor Associate Professor Ha Quang Thuy who guide and encourage me since 1 was undergraduate student. 1 have leaLuận văn thạc sĩ VNU UET transductive support vector machines for cross lingual sentiment classification
rned much about machine learning and nature language processing from him, and I appreciate his guidance and assistance.1thank so much to Assistant ProTransductive Support Vector Machines for Cross-lingual Sentiment ClassificationIcongINguyen Thi Thuy LinkFaculty of Information Technology University Luận văn thạc sĩ VNU UET transductive support vector machines for cross lingual sentiment classification ch on my thesis.1 am also thankful the members of Smart of Integrated Systems (SIS Lab) and Information System Department in the University of Engineering and Technology all of who always support me in work and study.I thank to the members of Nature Languages Processing Laboratory in .J A 1ST for th Luận văn thạc sĩ VNU UET transductive support vector machines for cross lingual sentiment classification e corroborate with me during the time 1 was an exchange student in JA1ST.I would like to dedicate this thesis to my wonderful family - from whom I’veLuận văn thạc sĩ VNU UET transductive support vector machines for cross lingual sentiment classification
learnt many tilings about life including the process of scientific thought.Hanoi. December 2009Nguyen Thỉ Thuy LinhTable of Contents1Introduction11.1ITransductive Support Vector Machines for Cross-lingual Sentiment ClassificationIcongINguyen Thi Thuy LinkFaculty of Information Technology University Luận văn thạc sĩ VNU UET transductive support vector machines for cross lingual sentiment classification ach...................................................... 31.1Related works..................................................... 41.1.1Sentiment classification................................... 11.1.1.1Sentiment classification tasks.................... 41.4.1.2Sentiment classification features..... Luận văn thạc sĩ VNU UET transductive support vector machines for cross lingual sentiment classification ............ 41.4.1.3Sentiment classification techniques............... 4Transductive Support Vector Machines for Cross-lingual Sentiment ClassificationIcongINguyen Thi Thuy LinkFaculty of Information Technology University Transductive Support Vector Machines for Cross-lingual Sentiment ClassificationIcongINguyen Thi Thuy LinkFaculty of Information Technology UniversityGọi ngay
Chat zalo
Facebook