Support vector machines and word2vec for text classification with semantic features

J Lilleberg, Y Zhu, Y Zhang - 2015 IEEE 14th International …, 2015 - ieeexplore.ieee.org
With the rapid expansion of new available information presented to us online on a daily
basis, text classification becomes imperative in order to classify and maintain it. Word2vec …

Study on SVM compared with the other text classification methods

Z Liu, X Lv, K Liu, S Shi - 2010 Second international workshop …, 2010 - ieeexplore.ieee.org
Based on the text information processing, we have made a study on the application of
support vector machine in text categorization. Through introducing the basic principle of …

Support vector machines for text categorization

A Basu, C Walters, M Shepherd - 36th Annual Hawaii …, 2003 - ieeexplore.ieee.org
Text categorization is the process of sorting text documents into one or more predefined
categories or classes of similar documents. Differences in the results of such categorization …

Text classification based on hybrid CNN-LSTM hybrid model

X She, D Zhang - 2018 11th International symposium on …, 2018 - ieeexplore.ieee.org
Aiming at the traditional methods of text classification, the dimensions need to be reduced,
the features are extracted manually, and the classification accuracy is poor, furthermore …

A chi-square statistics based feature selection method in text classification

Y Zhai, W Song, X Liu, L Liu… - 2018 IEEE 9th …, 2018 - ieeexplore.ieee.org
Text classification refers to the process of automatically determining text categories based
on text content in a given classification system. Text classification mainly includes several …

[图书][B] Learning to classify text using support vector machines

T Joachims - 2012 - books.google.com
Text Classification, or the task of automatically assigning semantic categories to natural
language text, has become one of the key methods for organizing online information. Since …

Support vector machines based on a semantic kernel for text categorization

G Siolas, F d'Alché-Buc - Proceedings of the IEEE-INNS-ENNS …, 2000 - ieeexplore.ieee.org
We propose to solve a text categorization task using a new metric between documents,
based on a priori semantic knowledge about words. This metric can be incorporated into the …

Deeplearning model used in text classification

J Cai, J Li, W Li, J Wang - 2018 15th international computer …, 2018 - ieeexplore.ieee.org
Text classification is one of the most widely used natural language processing technologies.
Common text classification applications include spam identification, news text classification …

Research of text classification based on improved TF-IDF algorithm

C Liu, Y Sheng, Z Wei, YQ Yang - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
In recent years, with the rapid development of Internet Technology, text data is growing
rapidly every day. Users need to filter out the information they need from a large amount of …

Research on Web text classification algorithm based on improved CNN and SVM

Z Wang, Z Qu - 2017 IEEE 17th International Conference on …, 2017 - ieeexplore.ieee.org
Web text classification is one of the research focuses and core technologies in Web
information retrieval and data mining, and it has been widely concerned and developed …