Improving Keyword Extraction from Movie Subtitles by Utilizing Temporal Properties

In our work we aim at keyword extraction from movie subtitles. Keywords and key phrases although missing the context can be found very helpful in finding, understanding, organizing and recommending the media content. Generally, they are used by search engines to help find the relevant information. M...

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Bibliographic Details
Published inSOFSEM 2016: Theory and Practice of Computer Science pp. 544 - 555
Main Authors Košút, Matúš, Šimko, Marián
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2016
SeriesLecture Notes in Computer Science
Subjects
ATR algorithm
Keyword extraction
Movie metadata
Subtitles analysis
Online AccessGet full text
ISBN9783662491911
3662491915
ISSN0302-9743
1611-3349
DOI10.1007/978-3-662-49192-8_44

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Summary:In our work we aim at keyword extraction from movie subtitles. Keywords and key phrases although missing the context can be found very helpful in finding, understanding, organizing and recommending the media content. Generally, they are used by search engines to help find the relevant information. Movies and video content are becoming massively available and widespread. The ability to automatically describe and classify videos has a vast domain of application. In our work we select movie subtitles as a source of information to process. We proposed a method for keyword extraction from movie subtitles by analysing their temporal properties and detecting conversations. We evaluated our method by conducting two experiments (a priori synthetic experiment and a posteriori user experiment) involving 200 movies and show that conversation analysis can improve traditional approaches based on automatic term extraction algorithms.
ISBN:9783662491911
3662491915
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-662-49192-8_44