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In:Syntactic Geolectal Variation: Traditional approaches, current challenges and new tools
Edited by Alba Cerrudo, Ángel J. Gallego and Francesc Roca Urgell
[Issues in Hispanic and Lusophone Linguistics 34] 2021
► pp. 347–380

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Chapter 12
Using Twitter to build a corpus for linguistic variation

Collecting tweets and mapping them out

 | Sophia University
Published online: 26 November 2021
DOI logo with link
https://doi.org/10.1075/ihll.34.12tin
Abstract
Data for linguistic analysis from social media are being used for a variety of reasons. One of the most attractive reasons is the possibility of gathering very large quantities of data in the digital form. However, collecting data from these sources is not always a simple task. In this chapter, a few methods to harvest data from Twitter will be introduced like FireAnt, 140dev Streaming API Framework, and Elastic Stack, as well as visualization tools like QGIS to map geotagged tweets. Finally, some examples of tweet analyses are discussed.
Article outline
  • 1.Introduction
  • 2. FireAnt
  • 3. 140dev Streaming API Framework
  • 4.Elastic Stack
  • 5. QGIS
  • 5.Conclusions
  • Notes
  • References
References (10)
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Cited by (1)

Cited by one other publication

OUSHIRO, LIVIA
2023. Computational Resources for Handling Sociolinguistic Corpora. In The Handbook of Usage‐Based Linguistics, ► pp. 415 ff. DOI logo

This list is based on CrossRef data as of 12 december 2025. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.

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