Predicting Emotion in Movie Scripts Using Deep Learning

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

In this paper we present a machine learning approach that aims to predict an emotion that follows given text segments. For this, we pre-processed a collection of movie scripts to generate a sequence of sentiment values. The sequence is given to a deep learning network to learn the sentiment value to follow. The evaluation result was promising, showing high cosine similarities between the target and the predicted emotion values.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages530-532
Number of pages3
ISBN (Electronic)9781538636497
DOIs
StatePublished - 25 May 2018
Event2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018 - Shanghai, China
Duration: 15 Jan 201818 Jan 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018

Conference

Conference2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018
Country/TerritoryChina
CityShanghai
Period15/01/1818/01/18

Keywords

  • deep learning
  • machine learning
  • movie ratings
  • text mining

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