Natural Language Processing and Text Mining to Identify Knowledge Profiles for Software Engineering Positions: Generating Knowledge Profiles from Resumes

2017 5th International Conference in Software Engineering Research and Innovation (CONISOFT) Pub Date : 2017-10-01 DOI:10.1109/CONISOFT.2017.00019

Rogelio Valdez-Almada, O. M. Rodríguez-Elías, C�sar Enrique Rose-G�mez, Mar�a De Jes�s Vel�zquez-Mendoza, Samuel Gonz�lez-L�pez

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引用次数: 7

Abstract

Organizations frequently report problems finding skillful people to cover their most knowledge intensive vacancies. Being software engineering positions some of the such kind of jobs, there is a considerable gap between job postings and hiring skillful engineers in many software engineering organizations. In this paper, we will introduce the prototype of a web application that helps identifying Technical Knowledge (TK) in software development, to serve as a tool in the hiring process of software engineering positions, and in talent management. The purpose of this tool is to do an initial screening when opening a job position. All this is accomplished using Natural Language Processing (NLP) and Text Mining (TM) to analyze unstructured text in resumes and curriculum. We propose a way to use NLP and TM to identify knowledge profiles for Software Engineering Positions.

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自然语言处理和文本挖掘识别软件工程职位的知识概况:从简历中生成知识概况

组织经常报告难以找到有技能的人来填补知识密集的职位空缺。由于软件工程职位中有一些这样的工作，在许多软件工程组织中，职位发布和雇用熟练的工程师之间存在相当大的差距。在本文中，我们将介绍一个web应用程序的原型，它可以帮助识别软件开发中的技术知识(TK)，作为软件工程职位招聘过程中的工具，以及人才管理。这个工具的目的是在开放工作职位时进行初步筛选。所有这些都是使用自然语言处理(NLP)和文本挖掘(TM)来分析简历和课程中的非结构化文本来完成的。本文提出了一种利用自然语言处理和TM识别软件工程岗位知识概况的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2017 5th International Conference in Software Engineering Research and Innovation (CONISOFT)

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