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Part 1: Document Description
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Citation |
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Title: |
Compute Ordered Words, Ordered Dicts, All Words, Master Dictionary, and Sorted Master Dictionary for Reuters News Corpus |
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Identification Number: |
doi:10.21979/N9/CK5QLF |
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Distributor: |
DR-NTU (Data) |
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Date of Distribution: |
2020-07-19 |
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Version: |
1 |
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Bibliographic Citation: |
Cheong, Siew Ann, 2020, "Compute Ordered Words, Ordered Dicts, All Words, Master Dictionary, and Sorted Master Dictionary for Reuters News Corpus", https://doi.org/10.21979/N9/CK5QLF, DR-NTU (Data), V1 |
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Citation |
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Title: |
Compute Ordered Words, Ordered Dicts, All Words, Master Dictionary, and Sorted Master Dictionary for Reuters News Corpus |
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Identification Number: |
doi:10.21979/N9/CK5QLF |
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Authoring Entity: |
Cheong, Siew Ann (Nanyang Technological University) |
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Software used in Production: |
Python |
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Distributor: |
DR-NTU (Data) |
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Access Authority: |
Cheong, Siew Ann |
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Depositor: |
Cheong, Siew Ann |
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Date of Deposit: |
2020-07-19 |
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Holdings Information: |
https://doi.org/10.21979/N9/CK5QLF |
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Study Scope |
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Keywords: |
Computer and Information Science, Computer and Information Science, Reuters words and dictionaries |
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Abstract: |
Python script to extract the Ordered Words, Ordered Dictionaries, All Words, Master Dictionary, and Sorted Master Dictionary for the Reuters News corpus. |
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Kind of Data: |
program source code |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Label: |
ReutersWordCount.py |
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Notes: |
text/x-python-script |