Automatic Cover Letter Generator System from CVs

Article ID

CSTSDEXKK0S

Automatic Cover Letter Generator System from CVs

Dr. Hasan Al Shalabi
Dr. Hasan Al Shalabi
Rafeeq Al-Hashemi
Rafeeq Al-Hashemi
Tahseen A. Al-Ramadin
Tahseen A. Al-Ramadin
DOI

Abstract

The proposed system comes to overcome the problem of writing a C.V. Cover letter which requires some linguistic skills and a lot of experience in this domain in addition to its cost in term of time and money. The ACLGS solved the problem by developing an auto generated cover letter based on the user C.V. regardless its format. The ACLGS takes the user C.V. and the carrier announcement that contains the job requirements and the skills needed as input. The system solved the problem by building a template as a frame of slots each slot contains a required skill for the job; the system extracted the required information from the user CV and fills the slots in an automatic fashion. The ACLGS applies the Information retrieval methodologies to extract information with intelligence trends to mine the user C.V. in terms of part of speech tags and some of indicator words that the system used to recognize the proper data and required information. In addition, the system specifies a set of features for each slot in the form. The user C.V. clustered into a number of categories (e.g. Personal information, Qualifications, Experience, Skill, Rewords, and Publications). These categories are used as additional features for the extracted information and data. The system took into account the problem of sentence coherence and improves the output document through using pre-specified sentences that inserted into the output document based on the extracted information discovered from the user C.V.

Automatic Cover Letter Generator System from CVs

The proposed system comes to overcome the problem of writing a C.V. Cover letter which requires some linguistic skills and a lot of experience in this domain in addition to its cost in term of time and money. The ACLGS solved the problem by developing an auto generated cover letter based on the user C.V. regardless its format. The ACLGS takes the user C.V. and the carrier announcement that contains the job requirements and the skills needed as input. The system solved the problem by building a template as a frame of slots each slot contains a required skill for the job; the system extracted the required information from the user CV and fills the slots in an automatic fashion. The ACLGS applies the Information retrieval methodologies to extract information with intelligence trends to mine the user C.V. in terms of part of speech tags and some of indicator words that the system used to recognize the proper data and required information. In addition, the system specifies a set of features for each slot in the form. The user C.V. clustered into a number of categories (e.g. Personal information, Qualifications, Experience, Skill, Rewords, and Publications). These categories are used as additional features for the extracted information and data. The system took into account the problem of sentence coherence and improves the output document through using pre-specified sentences that inserted into the output document based on the extracted information discovered from the user C.V.

Dr. Hasan Al Shalabi
Dr. Hasan Al Shalabi
Rafeeq Al-Hashemi
Rafeeq Al-Hashemi
Tahseen A. Al-Ramadin
Tahseen A. Al-Ramadin

No Figures found in article.

Hasan Al Shalabi. 2013. “. Global Journal of Computer Science and Technology – C: Software & Data Engineering GJCST-C Volume 13 (GJCST Volume 13 Issue C3): .

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Classification
Not Found
Article Matrices
Total Views: 9602
Total Downloads: 2470
2026 Trends
Research Identity (RIN)
Related Research
Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Automatic Cover Letter Generator System from CVs

Dr. Hasan Al Shalabi
Dr. Hasan Al Shalabi
Rafeeq Al-Hashemi
Rafeeq Al-Hashemi
Tahseen A. Al-Ramadin
Tahseen A. Al-Ramadin

Research Journals