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 ...

The lexica, made publicly available,1 achieved state-of-the-art accuracy in language based age and gender prediction over Facebook and Twitter, and were ...

Aug 26, 2016 · The main aim of our study is an estimation of genders of the commenters thanks to machine learning techniques by analyzing the comments of ...

Predictive lexica (words and weights) for age and gender using regression and classification models from word usage in Facebook, blog, and Twitter data with ...

Developing Age and Gender Predictive Lexica over Social Media. In EMNLP. Note ... See wwbp.org/data.html for a walk through example on how to use the lexica.

A list of data driven lexica developed by the World Well-Being Project. Age and Gender Lexica. Read the full publication here. Citation.

(2014) - Developing Age and Gender Predictive Lexica over Social Media. © Copyright 2024, H. Andrew Schwartz and Salvatore Giorgi. Built with Sphinx using a ...

Developing age and gender predictive lexica over social media. M Sap, G Park ... Predicting individual well-being through the language of social media.

In the current study, we developed weighted word lexicons (words and scores) on each dimension of MBTI personality.

Developing Age and Gender Predictive Lexica over Social Media. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) ...