Role of text mining in extracting valuable information from text data.

• Main Authors: Shaffiei, Zatul Alwani, Syah Amir Hamzah, Amir Syafiq Syamin, Harunor Rashid, Shaikh Mariyam, Oshima, Naoki
• Format: Article
• Language: English
• Published: Semarak Ilmu Publishing 2023
• Subjects: TK7885-7895 Computer engineer. Computer hardware
• Online Access: http://eprints.utm.my/108555/1/ZatulAlwaniShaffiei2023_RoleofTextMininginExtractingValuableInformation.pdf; http://eprints.utm.my/108555/; http://dx.doi.org/10.37934/araset.32.1.263271

Text mining has become a popular field with the rapid development of information technology and the extensive amounts of unstructured text data such as web pages, social network sites and technical documentations. This data contains a lot of information, which is extremely difficult to deal with the huge number and various forms. Extracting and analysing important information from massive data for example in automotive industries has become our major problem. The main aim of text mining is to extract important information from massive text data that are difficult to be handled manually with error-free. In this paper, the fundamental concept is based on Euclidean distance in finding the similarity between words. Finally, a set of data is used to describe the similarities, distances and frequencies between several words. Word cloud, bar plot, dendrogram and co-occurrence network are also presented to illustrate the behaviour of the text data.