推特挖掘的个性分析

Hirra Mustafa, Tuba Mansoor, S. Yaqoob, Shahid Mehmood, Md. Mijanur Rahman
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引用次数: 0

摘要

社交媒体成瘾正在成为一种常态。用户深入应用程序或网站,在这些平台上分享自己的想法、想法和观点,比与人面对面交流更舒服。通过文本挖掘这些来自社交媒体心理分析的观点和想法,可以改善用户体验和人格评估。目的是展示使用术语频率-反文档频率(TF-IDF) SVM等机器学习方法构建人格分析的验证框架。我们提出了一种方法,通过使用Myers_Briggs类型指标(MBTI),使用用户个人Twitter账户上的公开信息来分析用户的个性。本研究将在内容展示和产品列表定制、招聘和信息检索等方面做出贡献和帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personality Analysis by Tweet Mining
Social Media addiction is becoming a Commonplace. A user gets deeply involve with an application or website that he share it thoughts , ideas and viewpoints on these platforms more comfortably then communicating with an people face to face . By text mining these viewpoint and thoughts from social Media psychological profiling can b done to improve user experience  & personality assessment .The aim is to exhibits the construct validation framework for  Personality Analysis using machine learning approaches like Term Frequency-Inverse Document Frequency (TF-IDF) SVM. We put forward the methodology by which  user’s personality can be analyzed using publicly available information on user’s personal Twitter account using  the Myers_Briggs Type Indicator (MBTI). This study will contribute & help in many ways such as customization of Content displayed and  product list , Recruitment and Information Retrieval.
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