Discovering Common Interests And
Problems To Improve Working Conditions
At A Large Company
Author(s)
M. C. S. Lopes, M. Onoda, V. M. Bastos & N. F. F. Ebecken
Abstract
This work presents the study related to a text database with employees’ opinions
and complaints about general situations that occurred in the working
environment in a large company. The study intends to discover possible
conflicts, recurrent problems inside the company and so on. In order to find these
points out, a text mining commercial tool was used to make explicit the hidden
knowledge. Thus, we are able to evaluate how text data is organized and the
relevant information to be extracted. The results obtained can define possible
actions to improve the relationship between employees and the quality of the
working environment.
Keywords: text mining, clustering.
1 Introduction
The objective of this work is to show that a text mining tool, Insight Discoverer
Clusterer by Temis [1], can assist the company in the solution of typical
problems of the employees’ work environment, identifying problems that can
indicate or cause the low productivity of one or more sectors of the company, or
presenting practical and efficient solutions, capable to prevent problems that
could appear in a short time.
From messages sent to a centralizer department, the employees indicate
doubts, suggestions and claims, or until they praise the way how the problems
are solved. These messages are analyzed by the text-mining tool, presenting the
argued subjects. In general the analyses in this type of data are made through
auditorship, where the approach is the process of treatment of the messages, and
not its content.
Keywords
text mining, clustering.
Related Book
Other papers in this volume
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