Richer Document Embeddings for Author Profiling tasks based on a heuristic search

•Users of Social Media can be profiled through their posts.•Word Embeddings offer semantic meaning in a n-vectorial space.•A Document can be represented as a weighted-average of their Word Embeddings.•A new proposed statistic called Relevance Topic Value, is useful as a weighting-scheme of terms.•Genetic Programming is useful to evolve competitive weighting-schemes of terms.