Add to ORKG© 2016 FRUCT.Many web-based applications such as advertising or recommender systems often critically depend on the demographic information, which may be unavailable for new or anonymous users. We study the problem of predicting demographic information based on user-generated texts on a Russian-language dataset from a large social network. We evaluate the efficiency of age prediction algorithms based on word2vec word embeddings and conduct a comprehensive experimental evaluation, comparing these algorithms with each other and with classical baseline approaches
International audienceThe understanding of a text by a reader or listener is conditioned by the adeq...
There is a growing interest in automatically predicting the gender and age of authors from texts. Ho...
Drug reactions can be extracted from user reviews provided on the Web, and processing this informati...
© 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 ageing population. ...
ABSTRACT Predicting accurate demographic information about the users of information systems is a pro...
As the rapid growth of online social media attracts a large number of Internet users, the large volu...
Social media data represent an important resource for behavioral analysis of the aging population. T...
In this paper we focus on the connection between age and language use, exploring age prediction of T...
In this paper we focus on the connection between age and language use, exploring age prediction of T...
Health organizations are increasingly using social media, such as Twitter, to disseminate health mes...
In this article, we address the problem of age identification of Twitter users, after their online t...
Author's age prediction is the task of determining the author's age by studying the texts written by...
Demographic lexica have potential for widespread use in social science, economic, and business appli...
International audienceThe understanding of a text by a reader or listener is conditioned by the adeq...
There is a growing interest in automatically predicting the gender and age of authors from texts. Ho...
Drug reactions can be extracted from user reviews provided on the Web, and processing this informati...
© 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 ageing population. ...
ABSTRACT Predicting accurate demographic information about the users of information systems is a pro...
As the rapid growth of online social media attracts a large number of Internet users, the large volu...
Social media data represent an important resource for behavioral analysis of the aging population. T...
In this paper we focus on the connection between age and language use, exploring age prediction of T...
In this paper we focus on the connection between age and language use, exploring age prediction of T...
Health organizations are increasingly using social media, such as Twitter, to disseminate health mes...
In this article, we address the problem of age identification of Twitter users, after their online t...
Author's age prediction is the task of determining the author's age by studying the texts written by...
Demographic lexica have potential for widespread use in social science, economic, and business appli...
International audienceThe understanding of a text by a reader or listener is conditioned by the adeq...
There is a growing interest in automatically predicting the gender and age of authors from texts. Ho...
Drug reactions can be extracted from user reviews provided on the Web, and processing this informati...