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Part 1: Document Description
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Citation |
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Title: |
Analysis of Financial Literacy Level from Shoopeepay and OVO E-Wallet user using LDA-Based Topic Modelling |
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Identification Number: |
doi:10.34820/FK2/OQYEQX |
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Distributor: |
Telkom University Dataverse |
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Date of Distribution: |
2022-04-27 |
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Version: |
1 |
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Bibliographic Citation: |
IRADIANTY, ALDILLA, 2022, "Analysis of Financial Literacy Level from Shoopeepay and OVO E-Wallet user using LDA-Based Topic Modelling", https://doi.org/10.34820/FK2/OQYEQX, Telkom University Dataverse, V1 |
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Citation |
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Title: |
Analysis of Financial Literacy Level from Shoopeepay and OVO E-Wallet user using LDA-Based Topic Modelling |
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Identification Number: |
doi:10.34820/FK2/OQYEQX |
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Authoring Entity: |
IRADIANTY, ALDILLA (Telkom University) |
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Distributor: |
Telkom University Dataverse |
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Access Authority: |
IRADIANTY, ALDILLA |
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Depositor: |
IRADIANTY, ALDILLA |
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Date of Deposit: |
2022-04-27 |
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Study Scope |
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Keywords: |
Business and Management, e-wallet, user generated content, topic modelling, latent dirichlet allocation, financial literacy |
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Abstract: |
Konten dalam social media dimanfaatkan untuk mengetahui tingkat literasi keuangan pengguna Shopeepay dan OVO, dengan metode text mining yaitu topic modeling dengan pendekatan latent dirichlet allocation (LDA) |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
CC0 Waiver |
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Other Study Description Materials |
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Label: |
DATAVERSE.rar |
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Notes: |
application/x-rar-compressed |