Review on Text Mining: Techniques, Applications and Issues

Abstract

Due to the rapid rise of digital data collection techniques, a vast amount of data has become available. Unstructured and unsaturated data account for more than 85 percent of present data. Finding acceptable trends and patterns to interpret text documents from huge amounts of data is a major challenge. The process of extracting valuable and nontrivial patterns from large amounts of text documents is known as text mining. There are a variety of strategies and tools for mining text for useful information for future forecasting and decision-making. To boost the speed and reduce the time and effort required to obtain important data, an appropriate and proper text mining methodology is applied. This paper discusses and analyses text mining techniques and their applicability in numerous areas of life. Furthermore, challenges in the field of text mining have been discovered, which have an impact on the accuracy and relevance of the results.