A KNOWLEDGE-BASED APPROACH FOR TEXT SENTIMENT CLASSIFICATIONPOMPES PAR TRANSITIONS MULTIPLES

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" A KNOWLEDGE-BASED APPROACH FOR TEXT SENTIMENT CLASSIFICATIONPOMPES PAR TRANSITIONS MULTIPLES "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	153222
Doc. No	:	ET25014
Main Entry	:	Yijin Xu
Title Proper	:	A KNOWLEDGE-BASED APPROACH FOR TEXT SENTIMENT CLASSIFICATIONPOMPES PAR TRANSITIONS MULTIPLES
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Most text classification tools are built based upon a word-probability or word countapproach, e.g., the NaTve Bayesian and the K-Nearest Neighbor approaches, and thosetools are often used for topic or content based classification. They classify.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL49228.pdf
Title and statement of responsibility and	:	A KNOWLEDGE-BASED APPROACH FOR TEXT SENTIMENT CLASSIFICATIONPOMPES PAR TRANSITIONS MULTIPLES [Thesis]