7,121 to 7,130 of 8,106 Results
Jul 18, 2020 -
Ordered Bigram Dicts
Unknown - 1.3 MB -
MD5: f4ef88f68e2d28477ed2686d66a81626
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Jul 18, 2020 - ACM Transactions on the Web
Cheong, Siew Ann, 2020, "Ordered Bigrams", https://doi.org/10.21979/N9/4GWA8V, DR-NTU (Data), V1
npy file of bigrams ordered from the most frequent to the least frequent for each of the 224 ACM-TWEB abstracts. |
Jul 18, 2020 -
Ordered Bigrams
Unknown - 1.2 MB -
MD5: 11d5b6751856a2609ed7c4bc05898fdc
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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 -
Ordered Dicts
Unknown - 525.3 KB -
MD5: e39fa1ddadac60d9f3df1e21dc4a8531
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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. |
Jul 18, 2020 -
Ordered Words
Unknown - 466.7 KB -
MD5: 423a91057b31313026c2b31c9ce5b0f5
Numpy file |
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. |
