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Research on Data Analysis and Visualization of Recruitment Positions Based on Text Mining

Yuanyuan Chen, Ruijie Pan, Qiangyi Li
2022 Advances in Multimedia  
Finally, through the probabilistic theme model of text mining, the topic model of job description content in the recruitment information is modeled.  ...  To solve this problem, this paper firstly uses a web crawler to collect job information from recruitment websites based on keywords retrieved by users, then extracts job information using regular expressions  ...  Jiebaadopts the word segmentation method based on word formation and the Viterbi algorithm based on HMM, supporting four-word segmentation modes, such as the accurate mode, full mode, search engine mode  ... 
doi:10.1155/2022/9047202 fatcat:hggowpyp6jcqdbtexk2vnnykle

Research on the Relationship between Human Resource Management Activities and Enterprise Performance Based on the Supervised Learning Model

Chan Sun, Xiaojuan Li, Gengxin Sun
2021 Discrete Dynamics in Nature and Society  
To this end, for the problem of multilabel text classification of recruitment information, this paper provides two algorithms for multilayer classification based on supported SVM.  ...  The recruitment text contains rich information that can provide strong information support for the company's recruitment work and also improve the efficiency of job seekers in finding job opportunities  ...  In this paper, text-based classification techniques about machine learning and statistical methods have become the main techniques in the area. e idea of classification is based on various labeled texts  ... 
doi:10.1155/2021/4094704 fatcat:g5w36x6xwnblxcl3ug6b2r2d3i

Online Job and Candidate Recommendation System

Punitavathi D, Shinu V, Siva Kumar S, Vidhya Priya S P
2019 International Research Journal of Multidisciplinary Technovation  
To develop an enhanced web application, using web services for both online job and candidate recommendation system.  ...  By using Professional Social Recommender (PSR) and Text field filtering the recommendation of jobs and candidates will be classified.  ...  A common approach to deal with text fields is to exchange the text to a structured representation. • Knowledge-based approach, this type of recommender systems attempts to suggest objects based on interference  ... 
doi:10.34256/irjmt19212 fatcat:vmbnp7kqenh27osn2fr23qhziq

SURVEY ON DATA MINING FOR WEB SEMANTIC ANALYSIS

H. Ramprasanth, Dr. M. Shanmugapriya
2022 Zenodo  
We present a summary of the results and provide comparison analysis of the data mining methods employed by the reviewed articles.  ...  This paper presents a systematic and comprehensive survey of various data mining tasks and techniques. Further, various real-life applications of data mining are presented in this paper.  ...  Web digging calls for inventive utilization of information mining or potentially text mining methods and their particular methodologies.  ... 
doi:10.5281/zenodo.6793308 fatcat:wdcui6jndnawvloq2fmze7kpae

An Intelligent Model for Online Recruitment Fraud Detection

Bandar Alghamdi, Fahad Alharby
2019 Journal of Information Security  
This research presents a major contribution represented in a reliable detection model using ensemble approach based on Random forest classifier to detect Online Recruitment Fraud (ORF).  ...  For feature selection, support vector machine method is used and for classification and detection, ensemble classifier using Random Forest is employed.  ...  Background Online Recruitment System The online recruitment system utilizes web-based tools like public internet or intranet to recruit staff [7] .  ... 
doi:10.4236/jis.2019.103009 fatcat:mpbt554535dvhifjbuhpl4oyki

Research on an Artificial Intelligence-Based Professional Ability Evaluation System from the Perspective of Industry-Education Integration

Yijie Bian, Yanchi Lu, Jingqi Li, Ying Chen
2022 Scientific Programming  
We collect recruitment texts from the perspective of "industry" and mine the specific requirements of the artificial intelligence post system through the LDA topic model and the combination of Word2Vec  ...  Finally, we construct a four-dimensional vocational ability grade evaluation index system, including basic vocational skills of artificial intelligence, database, network skills, algorithm and design skills  ...  Acknowledgments is work was supported by the special key project "research on vocational skill level evaluation system of artificial intelligence integrated with industry and education" of the Modern Educational  ... 
doi:10.1155/2022/4478115 fatcat:iazz7ruvtbf6jezdaiqhmpogj4

F-Lingo: Integrating lexical feature identification into MOOC platforms for learning professional and academic English

Alannah Fitzgerad, Jemma Konig, Ian H. Witten
2019 2019 IEEE Learning With MOOCS (LWMOOCS)  
F-Lingo is a chrome extension that works on top of the FutureLearn MOOC platform to support content-based language learning of domain-specific terminology for professional and academic purposes.  ...  We also view F-Lingo as a work-around solution to carrying out text and data-mining methods on All Rights Reserved course content present in online learning.  ...  Using F-Lingo on top of FutureLearn, learners can view text augmented with additional lexical features, taking advantage of online courses for content-based language learning.  ... 
doi:10.1109/lwmoocs47620.2019.8939658 dblp:conf/lwmoocs/FitzgeraldKW19 fatcat:gjlwctmskbej3ovzzgmzybwx7a

Insights into Collaborative Platforms for Social Media Use Cases

George SUCIU, Corentin BOSCHER, Laura PRIOUX, Adrian PASAT, Ciprian DOBRE
2017 Studies in Informatics and Control  
In this context, we bring an innovative platform that integrates Digital Interaction Intelligence (DII) for data processing based on intelligent techniques and Digital Interaction Data (DID) for data aggregation  ...  Thus, marketing and recruiting processes are parts of today's social media. By analyzing and understanding consumers' activity on social media, companies have a powerful tool available for use.  ...  Acknowledgements This work was supported by a grant of the Ministry of Innovation and Research, POC-5C project.  ... 
doi:10.24846/v26i4y201707 fatcat:byfgqg45ebgindptpir3s4s27a

Academic start-up support using tele-education improved self-esteem of a rural general physician

Tadashi Kobayashi
2017 International Journal of Family & Community Medicine  
Third, this academic support based on his rural lifestyle and values could build good relationships with his community.  ...  We believe that using ICT to support rural physicians can improve their self-esteem, and promote CPD and the recruitment and retention of rural physicians in rural regions.  ...  Finally, as quantitative and qualitative analyses, we conducted text-mining analysis on the natural language text data for the consultations via SNS and e-mail between the instructor and the learner (  ... 
doi:10.15406/ijfcm.2017.01.00015 fatcat:rrzcad2y2nf5fjg6exjbgm5nb4

Clinical Research Informatics: Supporting the Research Study Lifecycle

S. B. Johnson
2017 IMIA Yearbook of Medical Informatics  
A search strategy based on medical subject headings can find many relevant papers, but a large number of non-relevant papers need to be detected using text words which pertain to closely related fields  ...  and big data methods.  ...  Finally, we see considerable discussion of "hot" topics, such as big data, data mining, and text mining.  ... 
doi:10.15265/iy-2017-022 pmid:29063565 pmcid:PMC6239240 fatcat:4vgw3wv2nbagdcq4r4y5pbbdxi

Clinical Research Informatics: Supporting the Research Study Lifecycle

S. B. Johnson
2017 IMIA Yearbook of Medical Informatics  
A search strategy based on medical subject headings can find many relevant papers, but a large number of non-relevant papers need to be detected using text words which pertain to closely related fields  ...  and big data methods.  ...  Finally, we see considerable discussion of "hot" topics, such as big data, data mining, and text mining.  ... 
doi:10.1055/s-0037-1606503 fatcat:ntteyvs7h5ghfbz2aoftaou4oa

Occupational profiling driven by online job advertisements: Taking the data analysis and processing engineering technicians as an example

Lina Cao, Jian Zhang, Xinquan Ge, Jindong Chen, Thippa Reddy Gadekallu
2021 PLoS ONE  
The occupational profiling system driven by the traditional survey method has some shortcomings such as lag in updating, time consumption and laborious revision.  ...  First, according to the description of occupation in the Chinese Occupation Classification Grand Dictionary, a text similarity algorithm was used to preliminarily choose recruitment data with high similarity  ...  Acknowledgments We are grateful to all the text annotators who promote the experiments go through. PLOS ONE Occupational profiling driven by online job advertisements Methodology: Lina Cao.  ... 
doi:10.1371/journal.pone.0253308 pmid:34157028 pmcid:PMC8219172 fatcat:c27untq5cvc6xnxqnprufkvmme

Deep Neural Network Model Construction for Digital Human Resource Management with Human-Job Matching

Qing Ni, Gengxin Sun
2022 Computational Intelligence and Neuroscience  
The system is based on a deep learning algorithm for job applicant matching, intelligent recommendation of jobs for job seekers, and more real help for job applicants to apply for jobs.  ...  The quantitative analysis method analyzes the degree of matching with the job.  ...  Acknowledgments is work was supported by School of Business, Anhui University.  ... 
doi:10.1155/2022/1418020 pmid:35634057 pmcid:PMC9135536 fatcat:pqw4huijwjc33cgnonwaa3reyu

Decision Support for E-Governance: A Text Mining Approach

Koteswara Rao, Shubhamoy Dey
2011 International Journal of Managing Information Technology  
We also present here, an integrated text mining based architecture for e-governance decision support along with a discussion on the Indian scenario.  ...  On the other hand, text mining has come a long way from simple keyword search, and matured into a discipline capable of dealing with much more complex tasks.  ...  Text mining based decision support system for e-government: technical architecture et al, have proposed a similar architecture for a system for competitive intelligence in a decision support system model  ... 
doi:10.5121/ijmit.2011.3307 fatcat:2swhyjh4ojcnhfifehos5ejqyy

A CV Parser Model using Entity Extraction Process and Big Data Tools

Papiya Das, Manjusha Pandey, Siddharth Swarup Rautaray
2018 International Journal of Information Technology and Computer Science  
From these sources high-enriched information is extracted by the means of process text data mining or text analytics. Entity Extraction is a part of Text Analysis.  ...  In this research work we will briefly discuss about text analysis process and how to extract entities with different big data tools.  ...  Methods arrangement of chinese resume parser system For complex information, system uses vector space model based text automatically categorization method.  ... 
doi:10.5815/ijitcs.2018.09.03 fatcat:2smyj6iayrfe5b6o5r7zsji5ma
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