… In Section 4, we present the string vector-based approaches to text categorization. In … of
string vector-based approaches to text categorization by comparing them with numerical vector-…

… In 2011, Jo described as the technique of automatic text … proposed that texts should be
encoded into string vectors as … processes string vectors as the approach to the text clustering[12]. …

… , only frequency was considered for defining features of string vectors. In … texts as well as
the frequencies for defining the features of string vectors, and encode texts into string vectors in …

… texts as well as the frequencies for defining the features of string vectors, and encode words
into string vectors … the proposed KNN version as the approach to the text categorization. Raw …

… Since sparse distribution can not exist in string vectors… text categorization. In section 3, we
describe in detail the process of encoding documents into numerical vectors and string vectors …

… on string alignment for text categorization problems. By defining inner products between
text … In this paper we have focused on text categorization, using a Support Vector Machine. …

… By incorporating this string kernel into SVM learning, we can … However, string kernels
require a large amount of working … In the algorithm, we keep the current weight vector w and …

… In this paper we present a comprehensive comparison of the performance of a number of
text categorization methods in two different data sets. In particular, we evaluate the Vector and …

… method based on string alignment for text categorization problems. … in the string-s weighting
them according to their lengths. Hence, the inner product of the feature vectors for two strings …

… , we encode texts into tables rather than into numerical vectors, … apply it to the tasks of text
categorization. As the benefits from … For third, the operation on string vectors which measures …