Analyzing CV/resume using natural language processing and machine learning
This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
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BRAC University
2018
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| Online pristup: | http://hdl.handle.net/10361/9480 |
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10361-94802022-01-26T10:21:46Z Analyzing CV/resume using natural language processing and machine learning Reza, Md. Tanzim Zaman, Md. Sakib Uddin, Dr. Jia Department of Computer Science and Engineering, BRAC University Machine learning CV Resume Natural language NLP JSON ID3 This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. Cataloged from PDF version of thesis report. Includes bibliographical references. This paper proposes a model of extracting important information from the semi-structured text format in a curriculum vitae or resume and ranking it according to the preference of the associated company and requirements. In order to achieve the desired goal, the entire process has been divided into 3 basic segments. The first segment consists of segmenting the entire CV / Resume based on the topic of each part, the second segment consists of extracting data in structured form from the unstructured data and the final segment consists of evaluating the structured data by decision tree algorithm and training the system. The structured data extraction process is done by segmenting the entire CV / Resume by converting it to HTML. After the conversion to structured data, decision tree algorithm techniques are used to classify the input into different categories based on qualifications and then the data with positive weight is used to train the system for future benefit. Finally, classifier algorithm apart from decision tree such as logistic regression is used to compare the classification result. Md. Tanzim Reza Md. Sakib Zaman B. Computer Science and Engineering 2018-02-15T07:49:31Z 2018-02-15T07:49:31Z 2017 2017 Thesis ID 14101061 ID 14101171 http://hdl.handle.net/10361/9480 en BRAC University thesis reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. application/pdf BRAC University |
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Brac University |
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Institutional Repository |
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English |
| topic |
Machine learning CV Resume Natural language NLP JSON ID3 |
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Machine learning CV Resume Natural language NLP JSON ID3 Reza, Md. Tanzim Zaman, Md. Sakib Analyzing CV/resume using natural language processing and machine learning |
| description |
This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. |
| author2 |
Uddin, Dr. Jia |
| author_facet |
Uddin, Dr. Jia Reza, Md. Tanzim Zaman, Md. Sakib |
| format |
Thesis |
| author |
Reza, Md. Tanzim Zaman, Md. Sakib |
| author_sort |
Reza, Md. Tanzim |
| title |
Analyzing CV/resume using natural language processing and machine learning |
| title_short |
Analyzing CV/resume using natural language processing and machine learning |
| title_full |
Analyzing CV/resume using natural language processing and machine learning |
| title_fullStr |
Analyzing CV/resume using natural language processing and machine learning |
| title_full_unstemmed |
Analyzing CV/resume using natural language processing and machine learning |
| title_sort |
analyzing cv/resume using natural language processing and machine learning |
| publisher |
BRAC University |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/9480 |
| work_keys_str_mv |
AT rezamdtanzim analyzingcvresumeusingnaturallanguageprocessingandmachinelearning AT zamanmdsakib analyzingcvresumeusingnaturallanguageprocessingandmachinelearning |
| _version_ |
1814309481841950720 |