Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Cited by Google
- Similars in SciELO
- Similars in Google
Share
Cuadernos de Lingüística Hispánica
Print version ISSN 0121-053XOn-line version ISSN 2346-1829
Abstract
BONILLA NEIRA, Laura Cristina. Keys for Analyzing Data on Twitter. Corpus Collection and Processing. Cuad. linguist. hisp. [online]. 2022, n.39, pp.1-. Epub Mar 01, 2023. ISSN 0121-053X. https://doi.org/10.19053/0121053x.n39.2022.14283.
This paper aims to present a methodological proposal for the analysis of Twitter data from a mixed approach. Specifically, the procedure for collecting and processing information is characterized by the use of qualitative and quantitative resources, as well as the construction of a manageable corpus for subsequent qualitative analysis. The procedure to approach Twitter digital discourses consists of the following route: 1) virtual ethnography registration; 2) data collection through the Twitter API using Python; 3) visualisation and filtering of the data with Open Refine; 4) corpus construction; 5) categorisation and labelling of the iconic verb utterances with Atlas. ti. The paper reconstructs the methodological path carried out in ongoing doctoral research with a qualitative approach, from which the examples are extracted, to offer an accessible route that can be replicated in research with this type of data.
Keywords : methodology; digital discourse; Twitter; corpus construction; discourse analysis; netnography.