Two-Level Fuzzy Cognitive Map Mining for Text Categorization

نویسندگان

  • Zhen Peng
  • Lifeng Wu
چکیده

Abstract For text categorization, one kind of FCM, two-level FCM, is proposed. The FCM includes two kinds of nodes that are attribute nodes and class nodes forming two levels, and has the intelligence advantages of structured knowledge representing and numeric matrix inference. The FCM mining method combines mutual information and gradient descent, and considers two stable states in FCM learning algorithm. The experiments demonstrate the performance of FCM applied in text classification.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Reference Algorithm of Text Categorization Based on Fuzzy Cognitive Maps

This paper introduces the reference theory and algorithm of text categorization by using fuzzy cognitive map(FCM), which is based on value inference and can be able to infer by combing rule and statistics. This method is flexible and robust, and we do not need train the corpus time after time,it is suitable to the text categorization of insufficiency training, new subject and multiclassification.

متن کامل

A Fuzzy Similarity Based Concept Mining Model for Text Classification

Text Classification is a challenging and a red hot field in the current scenario and has great importance in text categorization applications. A lot of research work has been done in this field but there is a need to categorize a collection of text documents into mutually exclusive categories by extracting the concepts or features using supervised learning paradigm and different classification ...

متن کامل

Resolving Ambiguous Entity through Context Knowledge and Fuzzy Approach

Entity extraction is considered as a fundamental step in many text mining applications such as machine translation, text summarization and text categorization. However, the major challenging issue in extracting the entity from a sentence is the ambiguity problem, namely lexical ambiguity. While a human has a cognitive capability to resolve the meaning easily based on his/her knowledge, it is ve...

متن کامل

Fuzzy Cognitive Maps application for Webmining

This work examines and proposes a new method for web mining inference based on Fuzzy Cognitive Maps. The web mining inference and knowledge extraction consists of two phases. At the first phase the a priori algorithm is used for web mining and a collection of Association rules is inferred. In the second phase, the set of Association Rules is transformed into a Fuzzy Cognitive Map (FCM). It inve...

متن کامل

A Fuzzy Based Approach to Text Mining and Document Clustering

Fuzzy logic deals with degrees of truth. In this paper, we have shown how to apply fuzzy logic in text mining in order to perform document clustering. We took an example of document clustering where the documents had to be clustered into two categories. The method involved cleaning up the text and stemming of words. Then, we chose ‘m’ features which differ significantly in their word frequencie...

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012