Sažetak The goal of text classification is to identify the category to which the text belongs.
Text categorization is widely used in email detection, sentiment analysis, topic marking and …

Text categorization has a variety of applications, such as sentiment analysis of user's tweet,
categorizing blog posts into different categories, etc. The real-time data available for …

The automated categorization of text documents into predetermined categories has
witnessed a growing in the last few years, due to the huge availability of documents in digital …

Efficient distributed numerical word representation models (word embeddings) combined
with modern machine learning algorithms have recently yielded considerable improvement …

Text classification is one of the most important tasks in natural language processing and
information retrieval due to the increasing availability of documents in digital form and the …

In order to provide benchmark performance for Urdu text document classification, the
contribution of this paper is manifold. First, it provides a publicly available benchmark …

In this study, we used SVM for text classification. There is stemming or Iemmatization word
normalization with the addition of Chi-squarefeature selection on the classification that we …

Large amounts of text are collected on the internet every day. As more text documents
become available, it becomes essential to categorize them for efficient archiving, retrieval …

Natural language processing is the current topic due to many important tasks like document
classification, named entity recognition, opinion mining, sentiment analysis, textual …

Feature extraction in the field of Text Processing or Natural Language Processing (NLP) has
its own challenges due to the characteristics of unstructured text. Thus, the selection of the …