Add to ORKGDemographic lexica have potential for widespread use in social science, economic, and business applications. We derive predic-tive lexica (words and weights) for age and gender using regression and classification models from word usage in Facebook, blog, and Twitter data with associated demographic labels. The lexica, made publicly available,1 achieved state-of-the-art accuracy in language based age and gender prediction over Face-book and Twitter, and were evaluated for generalization across social media genres as well as in limited message situations.
Social media data represent an important resource for behavioral analysis of the ageing population. ...
There is a growing interest in automatically predicting the gender and age of authors from texts. Ho...
Social media provide access to behavioural data at an unprecedented scale and granularity. However, ...
Demographic lexica have potential for widespread use in social science, economic, and business appli...
This paper describes the submission of the University of Washington's Center for Data Science to the...
As the rapid growth of online social media attracts a large number of Internet users, the large volu...
There is a growing interest in automatically predicting the gender and age of authors from texts. Ho...
The paper presents an interdisciplinary study in the field of automatic gender and age identificatio...
There is a growing interest in automatically predicting the gender and age of authors from texts. Ho...
Health organizations are increasingly using social media, such as Twitter, to disseminate health mes...
This paper proposes and contrastively evaluates several novel approaches to utiliz-ing annotator rat...
Accurate prediction of demographic attributes from social media and other informal online content is...
© 2016 FRUCT.Many web-based applications such as advertising or recommender systems often critically...
A person’s language use reveals much about the person’s social identity, which is based on the socia...
Social media data represent an important resource for behavioral analysis of the aging population. T...
Social media data represent an important resource for behavioral analysis of the ageing population. ...
There is a growing interest in automatically predicting the gender and age of authors from texts. Ho...
Social media provide access to behavioural data at an unprecedented scale and granularity. However, ...
Demographic lexica have potential for widespread use in social science, economic, and business appli...
This paper describes the submission of the University of Washington's Center for Data Science to the...
As the rapid growth of online social media attracts a large number of Internet users, the large volu...
There is a growing interest in automatically predicting the gender and age of authors from texts. Ho...
The paper presents an interdisciplinary study in the field of automatic gender and age identificatio...
There is a growing interest in automatically predicting the gender and age of authors from texts. Ho...
Health organizations are increasingly using social media, such as Twitter, to disseminate health mes...
This paper proposes and contrastively evaluates several novel approaches to utiliz-ing annotator rat...
Accurate prediction of demographic attributes from social media and other informal online content is...
© 2016 FRUCT.Many web-based applications such as advertising or recommender systems often critically...
A person’s language use reveals much about the person’s social identity, which is based on the socia...
Social media data represent an important resource for behavioral analysis of the aging population. T...
Social media data represent an important resource for behavioral analysis of the ageing population. ...
There is a growing interest in automatically predicting the gender and age of authors from texts. Ho...
Social media provide access to behavioural data at an unprecedented scale and granularity. However, ...