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Part 1: Document Description
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Citation |
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Title: |
09_COVID-19 Social Media Data Analysis |
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Identification Number: |
doi:10.7910/DVN/EC2EOU |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2021-05-26 |
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Version: |
1 |
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Bibliographic Citation: |
Spatial Data Lab, 2021, "09_COVID-19 Social Media Data Analysis", https://doi.org/10.7910/DVN/EC2EOU, Harvard Dataverse, V1 |
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Citation |
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Title: |
09_COVID-19 Social Media Data Analysis |
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Identification Number: |
doi:10.7910/DVN/EC2EOU |
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Authoring Entity: |
Spatial Data Lab (Spatial Data Lab) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Spatial Data Lab |
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Depositor: |
China, Data Lab |
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Date of Deposit: |
2021-05-26 |
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Holdings Information: |
https://doi.org/10.7910/DVN/EC2EOU |
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Study Scope |
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Keywords: |
Computer and Information Science, Mathematical Sciences, Social Sciences |
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Abstract: |
This case study shows how to use workflow KNIME to analyze COVID-19 related tweets based on text mining methods. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
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Other Study Description Materials |
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