|
View: |
Part 1: Document Description
|
|
Citation |
|
|---|---|
|
Title: |
Ordered Words, Ordered Dictionaries, All Words, Master Dictionary, and Sorted Master Dictionary |
|
Identification Number: |
doi:10.21979/N9/L09RSR |
|
Distributor: |
DR-NTU (Data) |
|
Date of Distribution: |
2020-07-21 |
|
Version: |
1 |
|
Bibliographic Citation: |
Cheong, Siew Ann, 2020, "Ordered Words, Ordered Dictionaries, All Words, Master Dictionary, and Sorted Master Dictionary", https://doi.org/10.21979/N9/L09RSR, DR-NTU (Data), V1 |
|
Citation |
|
|
Title: |
Ordered Words, Ordered Dictionaries, All Words, Master Dictionary, and Sorted Master Dictionary |
|
Identification Number: |
doi:10.21979/N9/L09RSR |
|
Authoring Entity: |
Cheong, Siew Ann (Nanyang Technological University) |
|
Software used in Production: |
Python |
|
Software used in Production: |
Numpy |
|
Distributor: |
DR-NTU (Data) |
|
Access Authority: |
Cheong, Siew Ann |
|
Depositor: |
Cheong, Siew Ann |
|
Date of Deposit: |
2020-07-21 |
|
Holdings Information: |
https://doi.org/10.21979/N9/L09RSR |
|
Study Scope |
|
|
Keywords: |
Computer and Information Science, Computer and Information Science, words and dictionaries of Reuters corpus |
|
Abstract: |
npy files for the ordered words, ordered dictionaries, all words, master dictionary, sorted master dictionary for the Reuters news corpus. |
|
Kind of Data: |
textual data |
|
Methodology and Processing |
|
|
Sources Statement |
|
|
Data Access |
|
|
Other Study Description Materials |
|
|
Label: |
ReutersAllWords.npy |
|
Notes: |
application/octet-stream |
|
Label: |
ReutersMasterDict.npy |
|
Notes: |
application/octet-stream |
|
Label: |
ReutersOrderedDicts.npy |
|
Notes: |
application/octet-stream |
|
Label: |
ReutersOrderedWords.npy |
|
Notes: |
application/octet-stream |
|
Label: |
ReutersSortedMasterDict.npy |
|
Notes: |
application/octet-stream |