نتایج جستجو برای: text document classification

تعداد نتایج: 765658  

Journal: :International Journal of Data Mining & Knowledge Management Process 2012

Journal: :International Journal of Advanced Computer Science and Applications 2023

Due to the rapid advancement of technology, volume online text data from numerous various disciplines is increasing significantly over time. Therefore, more work needed create systems that can effectively classify in accordance with its content, facilitating processing and extraction crucial information. Since these non-automated use manual feature classification, which error-prone time-consumi...

Journal: :Journal of the University Librarians Association of Sri Lanka 2013

Journal: :Proceedings of the American Society for Information Science and Technology 2012

Journal: :ECTI Transactions on Computer and Information Technology (ECTI-CIT) 2021

Due to ever-increasing information expansion and existing huge amount of unstructured documents, usage of keywords plays a very important role in information retrieval. Because of a manually-extraction of keywords faces various challenges, their automated extraction seems inevitable. In this research, it has been tried to use a thesaurus, (a structured word-net) to automatically extract them. A...

Besides for its own merits, text classification (TC) has become a cornerstone in many applications. Work presented here is part of and a pre-requisite for a project we have overtaken to create a corpus for the Arabic text process. It is an attempt to create modules automatically that would help speed up the process of classification for any text categorization task. It also serves as a tool for...

2015
Saranya Jothi D. Thenmozhi

Text mining refers to the process of deriving high-quality information from text. Text processing involves in search and replace in electronic format of text. A number of approaches have been developed to represent and classify text documents. Most of the approach tries to attain good classification performance while taking a document only by words. We propose a concept based methodology instea...

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