Twitter用户的性别识别功能组合

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2016-11-01 DOI:10.1109/ROPEC.2016.7830623

Daniel Fernandez, Daniela Moctezuma, O. Siordia

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引用次数: 5

摘要

由于社交平台和社交媒体中的性别分类对决策过程的影响，它已经成为行业的一个相关话题。Twitter中的性别识别是一种专注于Twitter数据获取、分析和处理的商业智能工具，可以通过多种方式将其转化为有价值的商业智能数据。本文提出了一种Twitter用户性别识别方法。该方法采用了与用户头像、屏幕名称和个人资料描述相关的几个特征。该方法在从Twitter API获取的574名用户的数据集中进行了评估，这些用户位于墨西哥阿瓜斯卡连特斯市，并被手动标记。实验结果表明，该方法的准确率为89.5%

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Features combination for gender recognition on Twitter users

Gender classification in social platforms and social media has become a relevant topic for the industry because of its impact in making decision process. Gender recognition in Twitter is a business intelligence tool focused on twitter data acquisition, analysis, and process, and it can be used in many ways to transform it into valuable business intelligence data. In this paper, a method for gender recognition in Twitter users is proposed. This method employs several features related to user profile picture, screen name and profile description. This method was evaluated in a dataset with 574 users acquired from Twitter API, these users are located in Aguascalientes City at Mexico and they were manually labelled. The experimental results show an accuracy of 89.5%

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2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)

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