3-Layered Bayesian Model Using in Text Classification

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Two-Stage Text Classification Using Bayesian Networks

The“curse of dimensionality”provides a powerful impetus to explore alternative data structures and representations for text processing. This paper presents a method for preparing a dataset for classification by determining the utility of a very small number of related dimensions via a Discriminative Multinomial Naive Bayes process, then using these utility measurements to weight these dimension...

متن کامل

Link-Based Text Classification Using Bayesian Networks

In this paper we propose a new methodology for link-based document classification based on probabilistic classifiers and Bayesian networks. We also report the results obtained of its application to the XML Document Mining Track of INEX’09.

متن کامل

Text Classification Using Novel "Anti-Bayesian" Techniques

This paper presents a non-traditional “Anti-Bayesian” solution for the traditional Text Classification (TC) problem. Historically, all the recorded TC schemes work using the fundamental paradigm that once the statistical features are inferred from the syntactic/semantic indicators, the classifiers themselves are the well-established statistical ones. In this paper, we shall demonstrate that by ...

متن کامل

Using Fuzzy LR Numbers in Bayesian Text Classifier for Classifying Persian Text Documents

Text Classification is an important research field in information retrieval and text mining. The main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. Since word detection is a difficult and time consuming task in Persian language, Bayesian text classifier is an appropriate approach to deal with different...

متن کامل

Using Fuzzy LR Numbers in Bayesian Text Classifier for Classifying Persian Text Documents

Text Classification is an important research field in information retrieval and text mining. The main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. Since word detection is a difficult and time consuming task in Persian language, Bayesian text classifier is an appropriate approach to deal with different...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Research Journal of Applied Sciences, Engineering and Technology

سال: 2013

ISSN: 2040-7459,2040-7467

DOI: 10.19026/rjaset.5.5051