dc.description.abstract | A good Master’s thesis will clearly stating the purpose and conclusion. Between the purpose and the conclusion, there should be consistency and completeness. On the other hand, missing the above two points, the content will fall short and have contradictions, that will misguide the thesis readers to quote incorrectly. Generally, a reader defines a thesis worth takes references by abstract. The abstract helps the readers to understand the content in a quicker way. Therefore, a good abstract will elevate the correctness of giving a right thesis to meet the reader’s needs. The content of the abstract of a thesis values the purpose and the conclusion the most. This research takes the master’s thesis of the Department of Information Management of National Central University from National Digital Library of Theses and Dissertations System in Taiwan as research data, using TextRank algorithm to extract the features of a thesis, applying ROUGE-1 as evaluation basis to measure the consistency and completeness of the thesis. Furthermore, with the help of the four algorithm of automatic multi-document extraction system TextRand, LexRank, Luhn, and potential semantic meaning analyzation system LSA (Latent Semantic Analysis) to make an abstract with a better correctness. Then, using this automatic summarization from the above technologies to compare with the original abstract to measure the correctness.
The purpose of this research is to comment on the consistency of the paper writing logic, the completeness of the scope, and the correctness of the conclusions, hopefully, after applying the auto- abstract to the original summary, there will be results with better correctness occurring from the thesis searching for the readers. From experiments, the consistency, completeness and correctness of 2013 and 2015 were found better, and 2014 and 2017 were found worse and the professor guidance has a great correlation about 3C structure . The contributions are: (1) Establishing a unsupervised verification system. (2) the consistency, completeness and correctness of the thesis can immediately be assessed pass or not. (3) Provide data for thesis writing to adjust its structure to achieve consistency, completeness and correctness. (4) Professors can automatically check thesis to reduce manual review task. (5) Provide automatic summaries to help improve the accuracy of query thesis. | en_US |