利用概率神经网络算法了解人格特征的社交媒体分析

Mohammad Zoqi Sarwani, Dian Ahkam Sani
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引用次数: 0

摘要

互联网创造了一个新的空间,人们可以在这里进行有效的互动和沟通。社交媒体是一种用于在互联网上进行互动的媒体。Facebook和Twitter都是社交媒体。许多人没有意识到把自己的私人生活公之于众。这就无意识地提供了关于他性格的信息。大五人格是一种人格评估方法,本研究采用大五人格作为参考。使用的数据是来自Facebook和Twitter的社交媒体状态。这是50名社交媒体用户的状态。每个用户都作为文本状态。使用概率神经网络算法进行的测试结果显示,在30个训练数据和20个测试数据中,训练过程中的平均准确率为86.99%,测试时的平均准确率为83.66%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social Media Analysis Using Probabilistic Neural Network Algorithm to Know Personality Traits
The Internet creates a new space where people can interact and communicate efficiently. Social media is one type of media used to interact on the internet. Facebook and Twitter are one of the social media. Many people are not aware of bringing their personal life into the public. So that unconsciously provides information about his personality. Big Five personality is one type of personality assessment method and is used as a reference in this study. The data used is the social media status from both Facebook and Twitter. Status has been taken from 50 social media users. Each user is taken as a text status. The results of tests performed using the Probabilistic Neural Network algorithm obtained an average accuracy score of 86.99% during the training process and 83.66% at the time of testing with a total of 30 training data and 20 test data.
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