Evaluation and Sociolinguistic Analysis of Text Features for Gender and Age Identification | Science Publications

American Journal of Engineering and Applied Sciences

Vasiliki Simaki¹  Vasileios Megalooikonomou¹  Iosif Mporas¹ 

关键词: Sociolinguistics;    Text Mining;    Feature Ranking;    ReliefF Algorithm;    Gender Detection;    Age Identification;   

DOI  :  10.3844/ajeassp.2016.868.876

学科分类：工程和技术（综合）

来源: Science Publications

【 摘 要 】

The paper presents an interdisciplinary study in the field of automatic gender and age identification, under the scope of sociolinguistic knowledge on gendered and age linguistic choices that social media users make. The authors investigated and gathered standard and novel text features used in text mining approaches on the author's demographic information and profiling and they examined their efficacy in gender and age detection tasks on a corpus consisted of social media texts. An analysis of the most informative features is attempted according to the nature of each feature and the information derived after the characteristics' score of importance is discussed.

【 授权许可】

Unknown