Keyphrase Extraction using Textual and Visual Features
Yaakov HaCohen‐Kerner, Stefanos Vrochidis, Dimitris Liparas, Anastasia Moumtzidou, Ioannis Yiannis Kompatsiaris · 2014
Many current documents include multimedia consisting of text, images and embedded videos.This paper presents a general method that uses Random Forests to automatically extract keyphrases that can be used as very short summaries and to help in retrieval, classification and clustering processes.