This chapter conducts the study on the use of text mining for corporate disclosure measurement. During the last few decades, research on corporate disclosure has received significant concentration from the researchers. Corporate disclosure measurement has been used by researchers to reveal the real-world scenario of corporate disclosure practice. Very often, the researchers have used content analysis for making comments on the corporate disclosure practice. This chapter investigates the usability of text mining approaches for measuring the corporate disclosure. To do this, stages and general techniques of text mining have been discussed. The usability and advantages of text mining approaches for corporate disclosure measurement have been investigated. And prospective stages of text mining have been proposed to measure the corporate disclosure. The investigation and study indicates that text mining can contribute significantly to measure the corporate disclosure.

The success or failure of power sector has a multi-dimensional effect. It affects on the other sectors of the industries. Therefore, drivers of success or failures as well as the solution of crisis of power sector have been identified from various aspects. This paper investigates the available solutions of problem of power industry regarding the preferences of compatibility of solutions. The available solutions have been identified from the previous researches. Different dimensions of the solutions have been considered to find out the most compatible solution for the stable growth of power sector in a developing country, Bangladesh. The Fuzzy Analytical Hierarchy Process (FAHP) has been used to determine the compatibility of the available solutions.

This chapter conducts the study on the use of text mining for corporate disclosure measurement. During the last few decades, research on corporate disclosure has received significant concentration from the researchers. Corporate disclosure measurement has been used by researchers to reveal the real world scenario of corporate disclosure practice. Very often, the researchers have used content analysis for making comments on the corporate disclosure practice. This chapter investigates the usability of text mining approaches for measuring the corporate disclosure. To do this, stages and general techniques of text mining have been discussed. The usability and advantages of text mining approaches for corporate disclosure measurement have been investigated. And prospective stages of text mining have been proposed to measure the corporate disclosure. The investigation and study indicates that text mining can contribute significantly to measure the corporate disclosure.

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