A Comparative Study of Feature Types for Age-Based Text Classification

24 Sep 2020 Anna Glazkova Yury Egorov Maksim Glazkov

The ability to automatically determine the age audience of a novel provides many opportunities for the development of information retrieval tools. Firstly, developers of book recommendation systems and electronic libraries may be interested in filtering texts by the age of the most likely readers... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Text Classification RusAge: Corpus for Age-Based Text Classification LSVC + linguistic features + publishing attributes F1 95.77 # 1

Methods used in the Paper