A large amount of online news on various topics is being posted on the Internet. One of the
tasks of processing this data is to provide the user with appropriate methods and tools for …

The problem of text classification is the process of supervised assignment of text documents
to one or more predefined categories or classes according to the content of the processed …

This study used a quantitative approach created by the author to describe the accuracy of
the classification machine learning for news text. In this report we compare the results of the …

In the current generation, a huge amount of textual documents are generated and there is an
urgent need to organize them in a proper structure so that classification can be performed …

The article includes information about different classification algorithms and vectorization
methods. We give the advantages and disadvantages of classification methods. Also in this …

The analysis of text documents classifiers constructing methods Page 1 TCSET'2016, February
23 – 26, 2016, Lviv-Slavske, Ukraine The Analysis of Text Documents Classifiers Constructing …

Text classification (TC) is an essential field in both text mining (TM) and natural language
processing (NLP). Humans have a tendency to organize and categorize everything as they …

Sharing short reviews on Social Networking Sites has contributed to rising textual data. For
this short review text, needed a text classification model to identify short texts, organize them …

Classifying or categorizing texts is the process by which documents are classified into
groups by subject, title, author, etc. This paper undertakes a systematic review of the latest …

Automatic document categorization gains more importance in view of the plethora of textual
documents added constantly on the web. Text categorization or classification is the process …