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681 to 690 of 691 Results
AllWords.npy
Jul 18, 2020 - All ACM-TWEB Words
Unknown - 724.6 KB - MD5: 696eac49d1c9521c3421a68104338fce
TWEBOrderedBigramDicts.npy
Jul 18, 2020 - Ordered Bigram Dicts
Unknown - 1.3 MB - MD5: f4ef88f68e2d28477ed2686d66a81626
TWEBOrderedBigrams.npy
Jul 18, 2020 - Ordered Bigrams
Unknown - 1.2 MB - MD5: 11d5b6751856a2609ed7c4bc05898fdc
OrderedDicts.npy
Jul 18, 2020 - Ordered Dicts
Unknown - 525.3 KB - MD5: e39fa1ddadac60d9f3df1e21dc4a8531
OrderedWords.npy
Jul 18, 2020 - Ordered Words
Unknown - 466.7 KB - MD5: 423a91057b31313026c2b31c9ce5b0f5
Numpy file
ACM Transactions on the Web(Nanyang Technological University)
Jul 18, 2020The Log Word Rank Movement Method for Keyword Identification
This dataverse contains private datasets on the full text of the ACM Transactions on the Web between 1999 and 2017, as well as public datasets derived from processing these raw datasets.
The Log Word Rank Movement Method for Keyword Identification(Nanyang Technological University)
Jul 18, 2020Accelerating the Knowledge Turn from Graphene Research to Innovative Technology
In this dataverse, I organized the data files and Python scripts used for developing the Log Word Rank Movement Method for keyword identification.
Accelerating the Knowledge Turn from Graphene Research to Innovative Technology(Nanyang Technological University)
Jul 18, 2020
AcRF Tier 2 Project MOE2017-T2-2-075 (Jun 2018 to May 2021)
AUDJPY_96to05_standard_30s_90s_gaussian_residue_nby2_wid76.mat
Dec 26, 2017 - Residues of AUD-JPY 1996 to 2004
Unknown - 38.9 MB - MD5: 912ff8c0bdaf43a8aa29d4d7cc44c05c
AUDJPY_standard_15s_90s_gaussian_residue_nby2_wid100.mat
Dec 26, 2017 - Residues of AUD-JPY 2005 to 2010
Unknown - 75.0 MB - MD5: b88b1beed3c7e4f2ad3714ea88a649de
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