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Using computational text analysis with social media text /

This case study introduces a mixed-methods approach that combines qualitative textual analysis and computational text analysis. Following the advent of the internet and social media, a wide range of social and political phenomena have developed an online aspect. However, the vast volume of internet...

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Bibliographic Details
Main Author: Ho, Justin (Justin T.) (Author)
Format: eBook
Language:English
Published: London : SAGE Publications, Ltd., 2022.
Series:SAGE research methods: doing research online.
Subjects:
Computational linguistics > Case studies.
Mixed methods research > Case studies.
Linguistique informatique > Études de cas.
Méthodes de recherche mixtes > Études de cas.
Computational linguistics.
Mixed methods research.
Case studies.
Online Access:Connect to the full text of this electronic book
Description
Summary:This case study introduces a mixed-methods approach that combines qualitative textual analysis and computational text analysis. Following the advent of the internet and social media, a wide range of social and political phenomena have developed an online aspect. However, the vast volume of internet data renders many qualitative analysis methods infeasible. This approach provides a way to describe the general pattern within large text corpora and select a manageable subset for further analysis. The approach is applicable to a wide range of research that utilizes text data.
Physical Description:1 online resource.
ISBN:9781529603590
1529603595