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Mapping Wildlife Species Distribution With Social Media: Augmenting Text Classification With Species Names (Short Paper)

Authors Shelan S. Jeawak, Christopher B. Jones, Steven Schockaert

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LIPIcs.GISCIENCE.2018.34.pdf
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ACM Subject Classification
  • Computing methodologies → Machine learning
  • Information systems
Keywords
  • Social media
  • Text mining
  • Volunteered Geographic Information
  • Ecology

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Abstract

Social media has considerable potential as a source of passive citizen science observations of the natural environment, including wildlife monitoring. Here we compare and combine two main strategies for using social media postings to predict species distributions: (i) identifying postings that explicitly mention the target species name and (ii) using a text classifier that exploits all tags to construct a model of the locations where the species occurs. We find that the first strategy has high precision but suffers from low recall, with the second strategy achieving a better overall performance. We furthermore show that even better performance is achieved with a meta classifier that combines data on the presence or absence of species name tags with the predictions from the text classifier.

Cite As Get BibTex

Shelan S. Jeawak, Christopher B. Jones, and Steven Schockaert. Mapping Wildlife Species Distribution With Social Media: Augmenting Text Classification With Species Names (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 34:1-34:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018) https://doi.org/10.4230/LIPIcs.GISCIENCE.2018.34

Author Details

Shelan S. Jeawak
  • Cardiff University, School of Computer Science and Informatics, Cardiff, UK
Christopher B. Jones
  • Cardiff University, School of Computer Science and Informatics, Cardiff, UK
Steven Schockaert
  • Cardiff University, School of Computer Science and Informatics, Cardiff, UK

Funding

  • Jeawak, Shelan S.: Shelan S. Jeawak has been sponsored by HCED Iraq.
  • Schockaert, Steven: Steven Schockaert has been supported by ERC Starting Grant 637277.

References

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