---
_id: '6951'
author:
- first_name: Mattias
  full_name: Luber, Mattias
  last_name: Luber
- first_name: Christoph
  full_name: Weisser, Christoph
  id: '264138'
  last_name: Weisser
  orcid: 0000-0003-0616-1027
  orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-0616-1027/work/216468415
- first_name: Benjamin
  full_name: Säfken, Benjamin
  last_name: Säfken
- first_name: Alexander
  full_name: Silbersdorff, Alexander
  last_name: Silbersdorff
- first_name: Thomas
  full_name: Kneib, Thomas
  last_name: Kneib
- first_name: Krisztina
  full_name: Kis-Katos, Krisztina
  last_name: Kis-Katos
citation:
  alphadin: '<span style="font-variant:small-caps;">Luber, Mattias</span> ; <span
    style="font-variant:small-caps;">Weisser, Christoph</span> ; <span style="font-variant:small-caps;">Säfken,
    Benjamin</span> ; <span style="font-variant:small-caps;">Silbersdorff, Alexander</span>
    ; <span style="font-variant:small-caps;">Kneib, Thomas</span> ; <span style="font-variant:small-caps;">Kis-Katos,
    Krisztina</span>: Identifying Topical Shifts in Twitter Streams: An Integration
    of Non-Negative Matrix Factorisation, Sentiment Analysis, and Structural Break
    Models for Large-Scale Data. In: <span style="font-variant:small-caps;">Bright,
    J.</span> ; <span style="font-variant:small-caps;">Giachanou, A.</span> ; <span
    style="font-variant:small-caps;">Spaiser, V.</span> ; <span style="font-variant:small-caps;">Spezzano,
    F.</span> ; <span style="font-variant:small-caps;">George, A.</span> ; <span style="font-variant:small-caps;">Pavliuc,
    A.</span> (Hrsg.): <i>Disinformation in Open Online Media. MISDOOM 2021</i>, <i>Lecture
    Notes in Computer Science, Vol. 12887</i>. Cham : Springer, 2021, S. 33–49'
  ama: 'Luber M, Weisser C, Säfken B, Silbersdorff A, Kneib T, Kis-Katos K. Identifying
    Topical Shifts in Twitter Streams: An Integration of Non-Negative Matrix Factorisation,
    Sentiment Analysis, and Structural Break Models for Large-Scale Data. In: Bright
    J, Giachanou A, Spaiser V, Spezzano F, George A, Pavliuc A, eds. <i>Disinformation
    in Open Online Media. MISDOOM 2021</i>. Lecture Notes in Computer Science, Vol.
    12887. Cham: Springer; 2021:33-49. doi:<a href="https://doi.org/10.1007/978-3-030-87031-7_3">10.1007/978-3-030-87031-7_3</a>'
  apa: 'Luber, M., Weisser, C., Säfken, B., Silbersdorff, A., Kneib, T., &#38; Kis-Katos,
    K. (2021). Identifying Topical Shifts in Twitter Streams: An Integration of Non-Negative
    Matrix Factorisation, Sentiment Analysis, and Structural Break Models for Large-Scale
    Data. In J. Bright, A. Giachanou, V. Spaiser, F. Spezzano, A. George, &#38; A.
    Pavliuc (Eds.), <i>Disinformation in Open Online Media. MISDOOM 2021</i> (pp.
    33–49). Cham: Springer. <a href="https://doi.org/10.1007/978-3-030-87031-7_3">https://doi.org/10.1007/978-3-030-87031-7_3</a>'
  bibtex: '@inproceedings{Luber_Weisser_Säfken_Silbersdorff_Kneib_Kis-Katos_2021,
    place={Cham}, series={Lecture Notes in Computer Science, Vol. 12887}, title={Identifying
    Topical Shifts in Twitter Streams: An Integration of Non-Negative Matrix Factorisation,
    Sentiment Analysis, and Structural Break Models for Large-Scale Data}, DOI={<a
    href="https://doi.org/10.1007/978-3-030-87031-7_3">10.1007/978-3-030-87031-7_3</a>},
    booktitle={Disinformation in Open Online Media. MISDOOM 2021}, publisher={Springer},
    author={Luber, Mattias and Weisser, Christoph and Säfken, Benjamin and Silbersdorff,
    Alexander and Kneib, Thomas and Kis-Katos, Krisztina}, editor={Bright, Jonathan  and
    Giachanou, Anastasia  and Spaiser, Viktoria  and Spezzano, Francesca  and George,
    Anna  and Pavliuc, Alexandra Editors}, year={2021}, pages={33–49}, collection={Lecture
    Notes in Computer Science, Vol. 12887} }'
  chicago: 'Luber, Mattias, Christoph Weisser, Benjamin Säfken, Alexander Silbersdorff,
    Thomas Kneib, and Krisztina Kis-Katos. “Identifying Topical Shifts in Twitter
    Streams: An Integration of Non-Negative Matrix Factorisation, Sentiment Analysis,
    and Structural Break Models for Large-Scale Data.” In <i>Disinformation in Open
    Online Media. MISDOOM 2021</i>, edited by Jonathan  Bright, Anastasia  Giachanou,
    Viktoria  Spaiser, Francesca  Spezzano, Anna  George, and Alexandra  Pavliuc,
    33–49. Lecture Notes in Computer Science, Vol. 12887. Cham: Springer, 2021. <a
    href="https://doi.org/10.1007/978-3-030-87031-7_3">https://doi.org/10.1007/978-3-030-87031-7_3</a>.'
  ieee: 'M. Luber, C. Weisser, B. Säfken, A. Silbersdorff, T. Kneib, and K. Kis-Katos,
    “Identifying Topical Shifts in Twitter Streams: An Integration of Non-Negative
    Matrix Factorisation, Sentiment Analysis, and Structural Break Models for Large-Scale
    Data,” in <i>Disinformation in Open Online Media. MISDOOM 2021</i>, Virtual Event,
    2021, pp. 33–49.'
  mla: 'Luber, Mattias, et al. “Identifying Topical Shifts in Twitter Streams: An
    Integration of Non-Negative Matrix Factorisation, Sentiment Analysis, and Structural
    Break Models for Large-Scale Data.” <i>Disinformation in Open Online Media. MISDOOM
    2021</i>, edited by Jonathan  Bright et al., Springer, 2021, pp. 33–49, doi:<a
    href="https://doi.org/10.1007/978-3-030-87031-7_3">10.1007/978-3-030-87031-7_3</a>.'
  short: 'M. Luber, C. Weisser, B. Säfken, A. Silbersdorff, T. Kneib, K. Kis-Katos,
    in: J. Bright, A. Giachanou, V. Spaiser, F. Spezzano, A. George, A. Pavliuc (Eds.),
    Disinformation in Open Online Media. MISDOOM 2021, Springer, Cham, 2021, pp. 33–49.'
conference:
  end_date: 2021-09-22
  location: Virtual Event
  name: Third Multidisciplinary International Symposium, MISDOOM 2021
  start_date: 2021-09-21
date_created: 2026-06-01T14:00:06Z
date_updated: 2026-06-02T08:37:06Z
doi: 10.1007/978-3-030-87031-7_3
editor:
- first_name: 'Jonathan '
  full_name: 'Bright, Jonathan '
  last_name: Bright
- first_name: 'Anastasia '
  full_name: 'Giachanou, Anastasia '
  last_name: Giachanou
- first_name: 'Viktoria '
  full_name: 'Spaiser, Viktoria '
  last_name: Spaiser
- first_name: 'Francesca '
  full_name: 'Spezzano, Francesca '
  last_name: Spezzano
- first_name: 'Anna '
  full_name: 'George, Anna '
  last_name: George
- first_name: 'Alexandra '
  full_name: 'Pavliuc, Alexandra '
  last_name: Pavliuc
language:
- iso: eng
page: 33-49
place: Cham
publication: Disinformation in Open Online Media. MISDOOM 2021
publication_identifier:
  eisbn:
  - 978-3-030-87031-7
  isbn:
  - 978-3-030-87030-0
publication_status: published
publisher: Springer
quality_controlled: '1'
series_title: Lecture Notes in Computer Science, Vol. 12887
status: public
title: 'Identifying Topical Shifts in Twitter Streams: An Integration of Non-Negative
  Matrix Factorisation, Sentiment Analysis, and Structural Break Models for Large-Scale
  Data'
type: conference
user_id: '220548'
year: '2021'
...