Text data has essential information in it depending on a party who can process the data.
Text feature extraction techniques have opened various ways to carry out the analysis …

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 …

Text Mining which is known as text analysis, is defined as the process to extract the proper
text patterns from the unstructured text data, which are collected from different written …

Different approaches have been proposed in the past to address the challenge of extracting
text from scholarly figures. However, until recently, no comparative evaluation of the different …

Rapid progress in digital data acquisition techniques have led to huge volume of data. More
than 80 percent of today's data is composed of unstructured or semi-structured data. The …

In the existing research on Chinese natural language processing text feature extraction has
always been a core problem in this field, and the advantages and disadvantages of text …

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 …

Text based Mining is the process of analyzing a document or set of documents to
understand the content and meaning of the information they contain. Text Mining enhances …

Most of the data is in the form of text these days. While databases store only structured data,
most of the data is unstructured like text documents, web pages, emails etc. Text mining is …