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FINDEREST Identifying Personal Skills and Possible Fields of Study Based on Personal Interests on Social Media Content

机译:Finderest根据社交媒体内容的个人利益确定个人技能和可能的学习领域

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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.
机译:辞职的学生人数在学习时辞去了大学。现在增加了。其中一个原因是学生无法与每个学习领域的技能需要的真正兴趣和偏好匹配。此外,我们初步调查,询问开放问题关于做事的必要技能,表明高中生在某种程度上没有良好的理解,在技能的含义以及这些与研究领域有关并导致这些问题他们未来的职业生涯。本研究旨在定义社交媒体使用行为的个人技能,特别是Facebook饲料内容。使用Facebook图形API和Text Analytics API,以便通过通过预定义技能过滤这些术语来识别来自Feed Intement的术语并定义相关的技能和字段。结果表明,我们的分析方法可以确定与社交媒体用户兴趣有关的技能和研究领域。

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