Article ID Journal Published Year Pages File Type
6837675 Computers in Human Behavior 2016 6 Pages PDF
Abstract
For this purpose, a framework is proposed to predict the users' gender by counting the number of some given words including verbs, pronouns, articles, adjectives, adverbs, preposition and numbers. This framework, thereafter, was tested using the comments that readers of Los Angeles Times left and the model were observed to predict the gender with an accuracy of 66.66%. Security solution and e-marketing can use this framework respectively for authentication and niche marketing.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
Authors
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