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81 to 88 of 88 Results
Jul 18, 2020 - ACM Transactions on the Web
Cheong, Siew Ann, 2020, "Ordered Dicts", https://doi.org/10.21979/N9/SA1EWV, DR-NTU (Data), V1
npy file containing dictionary of words and their frequencies in each of the 224 ACM-TWEB abstracts.
Jul 18, 2020 - ACM Transactions on the Web
Cheong, Siew Ann, 2020, "Ordered Words", https://doi.org/10.21979/N9/GZAHAL, DR-NTU (Data), V1
npy file containing list of words ordered from most frequent to least frequent for each of the 224 ACM-TWEB abstracts.
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.
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.
Jul 18, 2020
AcRF Tier 2 Project MOE2017-T2-2-075 (Jun 2018 to May 2021)
Dec 26, 2017
Cheong, Siew Ann, 2017, "Residues of AUD-JPY 1996 to 2004", https://doi.org/10.21979/N9/LFV2ZJ, DR-NTU (Data), V1
30-second time series of the residues of AUD-JPY exchange rate from 1996 to 2004, after detrending using a Gaussian kernel with a width of 76 time steps. The time is measured in terms of the number of seconds since 0 CE.
Dec 26, 2017
Cheong, Siew Ann, 2017, "Residues of AUD-JPY 2005 to 2010", https://doi.org/10.21979/N9/CDU3QX, DR-NTU (Data), V1
15-second time series data for residues of the AUD-JPY exchange rate from 2005 to 2010, after detrending with a Gaussian kernel of 100 time steps. The time is measured in terms of seconds 0 CE.
Dec 26, 2017
Cheong, Siew Ann, 2017, "CHF-JPY exchange rate from 2008 to 2009", https://doi.org/10.21979/N9/OJR7KR, DR-NTU (Data), V1
30-second time series data for residues of the CHF-JPY exchange rate from 2005 to 2010, after detrending with a Gaussian kernel of 48 time steps. The time is measured in terms of seconds 0 CE.
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