In this dataverse, I organized the data files and Python scripts used for developing the Log Word Rank Movement Method for keyword identification.
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141 to 150 of 181 Results
Python Source Code - 1.2 KB - MD5: cb73b306bcde20f38c489f57f7a464bd
Jul 18, 2020 - Python Scripts
Cheong, Siew Ann, 2020, "Bigram-Based Comparison Between Keywords From Different Methods", https://doi.org/10.21979/N9/R6JIRI, DR-NTU (Data), V1
Python script to perform bigram-based comparison between keywords from different methods, keeping different number of bigrams to determine the maximum probability of matches.
Python Source Code - 2.0 KB - MD5: fceeacb46995254eae1b2dc7d64cc30d
Jul 18, 2020 - Python Scripts
Cheong, Siew Ann, 2020, "Find Log Bigram Rank Movements", https://doi.org/10.21979/N9/VF6R3Z, DR-NTU (Data), V1
Python script to compute the log bigram rank movements of bigrams that appear more than once in each of the 224 abstracts of the ACM-TWEB corpus.
Python Source Code - 931 B - MD5: c644999e017d1144d6e3bbea4c4b4640
Jul 18, 2020 - Python Scripts
Cheong, Siew Ann, 2020, "Find Log Word Rank Movements", https://doi.org/10.21979/N9/DWSDMH, DR-NTU (Data), V1
Python script to compute the log word rank movements of words that appear more than once in each of the 224 abstracts of the ACM-TWEB corpus.
Python Source Code - 877 B - MD5: 2aa2ce83cb1fbdfdb7aa47012a39d5f6
Jul 18, 2020 - ACM Transactions on the Web
Cheong, Siew Ann, 2020, "Log Word Rank Movements of Stop Words for ACM-TWEB Corpus", https://doi.org/10.21979/N9/DADD1A, DR-NTU (Data), V1
npy file containing the list of log word rank movements of all 179 stop words that appear in the 224 ACM-TWEB abstracts.
Unknown - 25.6 KB - MD5: 911670102e29e662f70037997fc78eb6
Jul 18, 2020 - ACM Transactions on the Web
Cheong, Siew Ann, 2020, "List of Stop Words", https://doi.org/10.21979/N9/4MUVJN, DR-NTU (Data), V1
npy file containing the list of 179 stop words used to test the log word rank movement method on the ACM-TWEB corpus.
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