A Novel Weighted Classification Approach using Linguistic Text Mining

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

Topic Modeling and Classification of Cyberspace Papers Using Text Mining

The global cyberspace networks provide individuals with platforms to can interact, exchange ideas, share information, provide social support, conduct business, create artistic media, play games, engage in political discussions, and many more. The term cyberspace has become a conventional means to describe anything associated with the Internet and the diverse Internet culture. In fact, cyberspac...

متن کامل

eplicitation in interlingual and intralingual translations of shahnameh ferdowsi: a text linguistic approach

بررسی و مقایسه تفاوتها و شباهت های ترجمه ی درون زبانی و برون زبانی با تمرکز بر زبانشناسی متن. برای امر مقایسه میزان بسامد تصریح به کار رفته در ترجمه ی درون زبانی و نیز برون زبانی شاهنامه ی فردوسی مورد بررسی قرار گرفت.

Text Classification using Data Mining

Text classification is the process of classifying documents into predefined categories based on their content. It is the automated assignment of natural language texts to predefined categories. Text classification is the primary requirement of text retrieval systems, which retrieve texts in response to a user query, and text understanding systems, which transform text in some way such as produc...

متن کامل

Fuzzy ILP Classification of web reports after linguistic text mining

In this paper we study the problem of classification of textual web reports. We are specifically focused on situations in which structured information extracted from the reports is used for classification. We present an experimental classification system based on usage of third party linguistic analyzers, our previous work on web information extraction, and fuzzy inductive logic programming (fu...

متن کامل

Text Classification Using Graph-Encoded Linguistic Elements

Inspired by the goal to more accurately classify text, we describe an effort to map tokens and their characteristic linguistic elements into a graph and use that expressive representation to classify text phrases. We outperform the bag-of-words approach by exploiting word order and the semantic and syntactic characteristics within the phases. In this study, we map tagged corpora into a placehol...

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: International Journal of Computer Applications

سال: 2017

ISSN: 0975-8887

DOI: 10.5120/ijca2017915922