Analysis of convolution neural network for transfer learning of sentiment analysis in Indonesian tweets

Oki Saputra Jaya, Hendri Murfi, Siti Nurrohmah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Sentiment analysis is an activity to classify public opinion about entities in textual data into positive or negative. One of the automatic methods for sentiment analysis is convolution neural network (CNN). CNN consists of many layers with many parameters that can be adjusted as needed to form a specific architecture. CNN works well in similar domains; however, it gives less accurate in different domains. Therefore, we consider transfer learning which transfers knowledge from a source domain to different but related target domains. In this paper, we examine parameter sensitivity and accuracy of CNN for transfer learning of sentiment analysis in Indonesian tweets. Our simulation shows that the parameters are very sensitive and incremental learning significantly increases the accuracy of transfer learning of the CNN model.

Original languageEnglish
Title of host publicationProceedings of the 2018 International Conference on Data Science and Information Technology, DSIT 2018
PublisherAssociation for Computing Machinery
Pages18-22
Number of pages5
ISBN (Electronic)9781450365215
DOIs
Publication statusPublished - 20 Jul 2018
Event2018 International Conference on Data Science and Information Technology, DSIT 2018 - Singapore, Singapore
Duration: 20 Jul 201822 Jul 2018

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2018 International Conference on Data Science and Information Technology, DSIT 2018
CountrySingapore
CitySingapore
Period20/07/1822/07/18

Keywords

  • Convolution neural network
  • Deep learning
  • Incremental learning
  • Sentiment analysis
  • Transfer learning
  • Twitter

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  • Cite this

    Jaya, O. S., Murfi, H., & Nurrohmah, S. (2018). Analysis of convolution neural network for transfer learning of sentiment analysis in Indonesian tweets. In Proceedings of the 2018 International Conference on Data Science and Information Technology, DSIT 2018 (pp. 18-22). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3239283.3239299