Indian Journal of Research and Development Systems in Technologization (IJRDST)

ISSN: 2584-2579 (Online)

TEXT MINING AND NATURAL LANGUAGE PROCESSING FOR DECISION SUPPORT SYSTEMS

Author(s)

Sivakumar, R.D.

Assistant Professor, Department of Computer Science, Bell Institute, Sivakasi West.

Abstract

The techniques of text mining and natural language processing (NLP) have been discovered to be of the essence to the concept of decision support systems (DSS). Due to the growing volume of organizational text data that encompasses from customer feedback to social media interactions, over viewing the desirable findings from unstructured texts becomes imperative. This work is intended to explain the use of text mining and NLP techniques to support and improve decision-making processes in different disciplines. Employing methods like sentiment analysis, topic modeling and named entity recognition, DS can efficiently scrap textual data to identify patterns, trends and sentiments hidden behind it. Additionally, machine learning algorithms take advantage of the automated nature of text insights creation and employ it for the decision making tasks. After the critical assessment of the text mining and NLP literature review along with the case studies, this paper reveals the opportunities of data mining and NLP systems in emphasizing the range of industries where decisions are required. Moreover, it addresses the challenges and future research agenda for the future use of these approaches into frame decision-making processes.

Keywords : Natural Language Processing (NLP), Decision Support Systems (DSS), Text Mining, Part-of-speech tagging, Sentiment analysis and Tokenization. 

Volume : 1

Issue : 1

Pages : 14-23

Date of Publication : March 2024

DOI

Published By

IJRDST

Published In

Indian Journal of Research and Development Systems in Technologization (IJRDST)