Selection of text feature item is a basic and important matter for text mining and information
retrieval. Traditional methods of feature extraction require handcrafted features. To hand …

Using traditional machine learning approaches, there is no single feature engineering
solution for all text mining and learning tasks. Thus, researchers must determine and …

In this paper, we examine the results of applying three different text feature extraction
approaches while classifying short sentences and phrases into categories with a neural …

Nowadays, there is a quick development in the use of internet. The large amount of
structured, unstructured and semi-structured forms like videos, images, audio or texts, can …

Big Data means a very large amount of data and includes a range of methodologies such as
big data collection, processing, storage, management, and analysis. Since Big Data Text …

Day by day the number of text documents in digital form is increasing. Text classification is
used to organize these text documents. However, text classification has the problem of high …

Text classification has always been an increasingly crucial topic in natural language
processing. Traditional text classification methods based on machine learning have many …

For the traditional model based on the deep learning method most used CNN (convolutional
neural networks) or RNN (Recurrent neural Network) model and is based on the dynamic …

Text mining is an important and popular data mining topic, where a fundamental objective is
to enable users to extract informative data from text-based assets and perform related …

In this contemporaneous world, it is an obligation for any organization working with
documents to end up with the insipid task of classifying truckload of documents, which is the …