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Text Representation Based on Key Terms of Document for Text Categorization
Jieming Yang,Zhiying Liu,Zhaoyang Qu 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.4
The text representation, “bag of words” or vector space model, is widely used by most of the classifiers in text categorization. All the documents fed into the classifier are represented as a vector in the vector space, which consists of all the terms extracted from training set. Due to the characteristics of high dimensionality, feature selection algorithm is usually used to reduce the dimensionality of the vector space. Through feature selection, each document is represented by some representative terms extracted from the training set. Although the classification results based on this document representation methodare better, it is inevitable that some documents may contain few even none representative terms, and these documents must be misclassified. In this paper, we proposed a new text representation method, KT-of-DOC, which represents one document using some key terms extracted from this document. We selected key terms of each document based on six feature selection algorithms, Improved Gini Index (GINI), Information Gain (IG), Mutual Information (MI), Odds Ratio (OR), Ambiguity Measure (AM) and DIA association factor (DIA), respectively, and evaluated the performance of two classifiers, Support Vector Machines (SVM) and K-Nearest Neighbors (KNN), on three benchmark collections, 20-Newsgroups, Reuters-21578 and WebKB. The results show that the proposed representation method can significantly improve the performance of classifier.
A Novel Feature Selection Based Gravitation for Text Categorization
Jieming Yang,Zhiying Liu,Zhaoyang Qu 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.3
The high dimensionality of feature space is a big hurdle in applying many sophisticated methods to text categorization. The feature selection method is one of methods which reduce the high dimensionality of feature space. In this paper, we proposed a new feature selection algorithm based on gravitation, named GFS, which regards a feature occurring in one category as an object, and all objects corresponding to a feature occurring in various categories can constitute a gravitational field, then the gravitation of a feature with unknown category label on which all objects in the gravitational field act is used for feature selection. We have evaluated GFS on three benchmark datasets (20-Newgroups, Reuters-21578 and WebKB), using two classification algorithms, Naïve Bayes (NB) and Support Vector Machines (SVM), and compared it with four well-known feature selection algorithms (information gain, document frequency, orthogonal centroid feature selection and Poisson distribution). The experiments show that GFS performs significantly better than other feature selection algorithms in terms of micro F1, macro F1 and accuracy.
Hu Lamei(胡腊,梅),Feng Jieming(冯,洁,铭,),Li Qingsong(李青,嵩),Chen Lu(陈,璐,) 아시아사회과학학회 2022 International Science Research Vol.2 No.1
去年是建党一百周年, 借着开展党史学习教育的契机, 让更多的大学生了解党的历史, 在全校范围内开展爱国主义教育, 对于提升学生的思想政治素质是很有效的。因此在全社会大力开展爱国主义教育的大背景下, 对如何提升大学生思想政治素质进行分析和研究至关重要。本文基于爱国主义教育大背景下, 就如何提升大学生思想政治素质的路径进行探讨, 并提出具体可实施的建议。 Last year is the one hundredth anniversary of the founding, through to carry out the party history study chance in education, let more students understand the party s history, to carry out patriotism education in the school, to improve students ideological and political quality, it is very effective So vigorously carry out patriotism education in the whole society s big background, how to improve college students ideological and political quality is very important to analyze and study Based on the background of patriotism education, this paper discusses how to improve the ideological and political quality of college students, and puts forward concrete feasible suggestions.
AcuD Gene Knockout Attenuates the Virulence of Talaromyces marneffei in a Zebrafish Model
( Jiao Feng ),( Zhiwen Chen ),( Liya He ),( Xing Xiao ),( Chunmei Chen ),( Jieming Chu ),( Eleftherios Mylonakis ),( Liyan Xi ) 한국균학회 2019 Mycobiology Vol.47 No.2
Talaromyces marneffei is the only dimorphic species in its genus and causes a fatal systemic mycosis named talaromycosis. Our previous study indicated that knockdown of AcuD gene (encodes isocitrate lyase of glyoxylate bypass) of T. marneffei by RNA interference approach attenuated the virulence of T. marneffei, while the virulence of the AcuD knockout strains was not studied. In this study, T. marneffei-zebrafish infection model was successfully established through hindbrain microinjection with different amounts of T. marneffei yeast cells. After co-incubated at 28_C, the increasing T. marneffei inoculum doses result in greater larval mortality; and hyphae generation might be one virulence factor involved in T. marneffeizebrafish infection. Moreover, the results demonstrated that the virulence of the DAcuD was significantly attenuated in this Zebrafish infection model.