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Finderest: Identifying personal skills and possible fields of study based on personal interests on social media content

  • Mahidol University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

The number of students resigned from the university while they were studying has increased nowadays. One of the reasons is students could not match their real interests and preferences with skills need in each field of study. In addition, our preliminary survey, asking the open question about what is the necessary skill for doing business, showed that the high school students somehow do not have a good understanding in the meaning of skills and how these related to the study fields and leads to their future career. This study aimed to define personal skills from social media use behavior, in particular, Facebook feed contents. Facebook Graph API and Text Analytics API were used in order to identify terms from the feed contents and define related skills and fields by filtering those terms with predefined skills. The results showed that our methodology of analyzing data could identify the set of skills and the fields of study that related to social media user interests.

Original languageEnglish
Title of host publication6th ICT International Student Project Conference
Subtitle of host publicationElevating Community Through ICT, ICT-ISPC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781538629963
DOIs
Publication statusPublished - 19 Oct 2017
Event6th ICT International Student Project Conference, ICT-ISPC 2017 - Johor, Malaysia
Duration: 23 May 2017 → 24 May 2017

Publication series

Name6th ICT International Student Project Conference: Elevating Community Through ICT, ICT-ISPC 2017
Volume2017-January

Conference

Conference6th ICT International Student Project Conference, ICT-ISPC 2017
Country/TerritoryMalaysia
CityJohor
Period23/05/17 → 24/05/17

Keywords

  • Facebook Graph API
  • Personal Interest Analysis
  • Personal Skills
  • Social Media Use
  • Text analysis API

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