Social media data represent an important resource for behavioral analysis of the ageing
population. This paper addresses the problem of age prediction from Twitter dataset, where …

Social media data represent an important resource for behavioral analysis of the aging
population. This paper addresses the problem of age prediction from Twitter dataset, where …

Twitter provides an open and rich source of data for studying human behaviour at scale and
is widely used in social and network sciences. However, a major criticism of Twitter data is …

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 …

While demographic attributes, such as age, gender, and location, have been extensively
studied, most previous studies usually combine different sources of data, such as the user's …

Automatically determining demographic profile attributes of writers with high accuracy,
based on their texts, can be useful for a range of application domains, including smart ad …

In this paper we focus on the connection between age and language use, exploring age
prediction of Twitter users based on their tweets. We discuss the construction of a fine …

In this article, we address the problem of age identification of Twitter users, after their online
text. We used a set of text mining, sociolinguistic-based and content-related text features …

Determining age and gender from a series of texts is useful for areas such as business
intelligence and digital forensics. We explore the use of convolutional neural networks …

Democratization of information access brought about by digital distribution has resulted in
two contradictory phenomena: the ability to personalize consumer experience, and greater …