Please use this identifier to cite or link to this item:
Title: การวิเคราะห์อารมณ์ของประโยคโดยอาศัยความหมายของคำใช้ซัพพอร์ตเวกเตอร์แมชชีน
Other Titles: Sentence emotion analysis based on word semantic using support vecter machine
Authors: รัฐสิทธิ์ สุขะหุต
คมกฤช น้อยเทพ
Keywords: ประโยค
Issue Date: Dec-2557
Publisher: เชียงใหม่ : บัณฑิตวิทยาลัย มหาวิทยาลัยเชียงใหม่
Abstract: The objectives of the independent study entitled “Sentence Emotion Analysis Based on Words Semantic Using Support Vecter Machine” are to develop a tool to help measure the classification of Thai sentense by applying model process, group of emotions, measure the performance, classify by Support Vector Machine, and to study the grouping of emotions, using natural language processing. The measurement of the similarity of Thai documents using natural language processing was divided into two parts, these begin: preparation of documents prior to processing, and transform the data into Attribute – Relation File Format (ARFF) using divide words and pattern matching. In total, the development tool of emotion classification using PHP, Java, and Perl The effectiveness of the similarity for Emotion Words Using Support Vecter Machine, can be tested through the accuracy and correctness of the data on different levels. The results of the test showed that the accuracy of system with Cross-Validate and the performance of system with F-measure. In conclude, there are Cross-Validate 72 percentage and F-measure more than 0.5.
Appears in Collections:SCIENCE: Independent Study (IS)

Files in This Item:
File Description SizeFormat 
ABSTRACT.docxAbstract (words)177.33 kBMicrosoft Word XMLView/Open    Request a copy
ABSTRACT.pdfAbstract234.08 kBAdobe PDFView/Open
FULL.pdfFull IS5.11 MBAdobe PDFView/Open    Request a copy

Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.