Scoring essays in upper secondary schools in Sweden is a demanding process and requires time and effort by teachers. Teachers have some scoring criteria that they should fulfill while scoring the essay.  The existing automated essay scoring systems cannot be used by the teachers since they do not fulfill all these criteria. Therefore, a tool is needed to assist teachers in scoring the essays by highlighting the important parts of the essay that teachers should consider. A text analysis tool is developed in order to assist teachers in scoring essays by analyzing the text and providing the weakness of the essays. The tool makes use of natural language processing, machine learning, probabilistic and rule-based methods to detect the grammatical errors in the essays. The aim of the thesis is to evaluate the efficiency of the tool in reducing the time spent on scoring essays. The methodology used is design science research to achieve the aim of the thesis. For the evaluation of the tool, in total 20 essays were scored using the text analysis tool. The results of the evaluation, 80 showed a significant difference in the time spent on scoring essays with using the tool.