Selection of a text characteristic is a prerequisite for text mining and information retrieval.
Traditional techniques of feature extraction demand the use of custom features that must be …

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 …

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This paper aims to catalyze the discussions about text feature extraction techniques using
neural network architectures. The research questions discussed in the paper focus on the …

Recently, text mining has received special attention from both researchers and practitioners,
since it enables the development of intelligent and automated services. Text mining has …

Feature representation and feature extraction are two crucial procedures in text mining.
Convolutional Neural Networks (CNN) have shown overwhelming success for text-mining …

Most of the data present today on Web is in the form of text. This text data is a rich source of
information, but it is difficult to process because it is unstructured in nature. Various …

Text Mining is a field that aims at extracting information from textual data. One of the
challenges of such field of study comes from the pre-processing stage in which a vector (and …

Text mining, a subfield of natural language processing (NLP), has received considerable
attention in recent years due to its ability to extract valuable insights from large volumes of …