Keyphrase Extraction using Textual and Visual Features

Yaakov Hacohen-Kerner, Stefanos Vrochidis, Dimitris Liparas, Anastasia Moumtzidou, Ioannis Kompatsiaris

Research output: Contribution to conferencePaperpeer-review

Abstract

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.

Original languageEnglish
Pages121-123
Number of pages3
StatePublished - 2014
Externally publishedYes
Event3rd Annual Meeting of the EPSRC Network on Vision and Language and 1st Technical Meeting of the European Network on Integrating Vision and Language, V and L Net 2014 - Dublin, Ireland
Duration: 23 Aug 2014 → …

Conference

Conference3rd Annual Meeting of the EPSRC Network on Vision and Language and 1st Technical Meeting of the European Network on Integrating Vision and Language, V and L Net 2014
Country/TerritoryIreland
CityDublin
Period23/08/14 → …

Bibliographical note

Publisher Copyright:
© COLING 2014. All rights reserved.

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