Active Feature Acquisition for Opinion Stream Classification under Drift

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research

Authors

  • Ranjith Shivakumaraswamy
  • Christian Beyer
  • Vishnu Unnikrishnan
  • Eirini Ntoutsi
  • Myra Spiliopoulou

Research Organisations

External Research Organisations

  • Otto-von-Guericke University Magdeburg
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Details

Original languageEnglish
Title of host publicationInteractive Adaptive Learning
Subtitle of host publicationProceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2019)
Pages108-111
Number of pages4
Publication statusPublished - 2019
Event2019 Workshop on Interactive Adaptive Learning, IAL 2019 - Wurzburg, Germany
Duration: 16 Sept 2019 → …

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR Workshop Proceedings
Volume2444
ISSN (Print)1613-0073

Abstract

Active stream learning is frequently used to acquire labels for instances and less frequently to determine which features should be considered as the stream evolves. We introduce a framework for active feature selection, intended to adapt the feature space of a polarity learner over a stream of opinionated documents. We report on the first results of our framework on substreams of reviews on different product categories.

Keywords

    Active Feature Acquisition, Opinion Stream Classification

ASJC Scopus subject areas

Cite this

Active Feature Acquisition for Opinion Stream Classification under Drift. / Shivakumaraswamy, Ranjith; Beyer, Christian; Unnikrishnan, Vishnu et al.
Interactive Adaptive Learning: Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2019). 2019. p. 108-111 (CEUR Workshop Proceedings; Vol. 2444).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research

Shivakumaraswamy, R, Beyer, C, Unnikrishnan, V, Ntoutsi, E & Spiliopoulou, M 2019, Active Feature Acquisition for Opinion Stream Classification under Drift. in Interactive Adaptive Learning: Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2019). CEUR Workshop Proceedings, vol. 2444, pp. 108-111, 2019 Workshop on Interactive Adaptive Learning, IAL 2019, Wurzburg, Germany, 16 Sept 2019. <https://ceur-ws.org/Vol-2444/ialatecml_shortpaper3.pdf>
Shivakumaraswamy, R., Beyer, C., Unnikrishnan, V., Ntoutsi, E., & Spiliopoulou, M. (2019). Active Feature Acquisition for Opinion Stream Classification under Drift. In Interactive Adaptive Learning: Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2019) (pp. 108-111). (CEUR Workshop Proceedings; Vol. 2444). https://ceur-ws.org/Vol-2444/ialatecml_shortpaper3.pdf
Shivakumaraswamy R, Beyer C, Unnikrishnan V, Ntoutsi E, Spiliopoulou M. Active Feature Acquisition for Opinion Stream Classification under Drift. In Interactive Adaptive Learning: Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2019). 2019. p. 108-111. (CEUR Workshop Proceedings).
Shivakumaraswamy, Ranjith ; Beyer, Christian ; Unnikrishnan, Vishnu et al. / Active Feature Acquisition for Opinion Stream Classification under Drift. Interactive Adaptive Learning: Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2019). 2019. pp. 108-111 (CEUR Workshop Proceedings).
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