This dataverse contains all the Python scripts used in the project developing the Log Word Rank Movement Method for Keyword Identification.
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61 to 70 of 77 Results
Python Source Code - 1.2 KB - MD5: e2c19dc940a8be3576b61435c93c88b7
Jul 19, 2020
Cheong, Siew Ann, 2020, "Histogram of Agreements Between LWRM1 and TFIDF for ACM-TWEB Corpus", https://doi.org/10.21979/N9/7ZE51Z, DR-NTU (Data), V1
Python script to plot the histogram comparing the agreement between LWRM1 and TFIDF for the ACM-TWEB corpus.
Python Source Code - 1.2 KB - MD5: 0f568d358f7fc5a941981a15f7f27c07
Jul 19, 2020
Cheong, Siew Ann, 2020, "Word-Based Comparison Between Keywords From Different Methods", https://doi.org/10.21979/N9/VDX7VD, DR-NTU (Data), V1
Python script to perform word-based comparison between keywords from different methods, keeping different number of keywords to determine the maximum probability of matches.
Python Source Code - 1.6 KB - MD5: f53d08bb3369ffc81932353034441990
Jul 18, 2020
Cheong, Siew Ann, 2020, "Histogram of Agreements Between LWRM1 and LWRM2 for ACM-TWEB Corpus", https://doi.org/10.21979/N9/LW0MZY, DR-NTU (Data), V1
Python script to plot the histogram comparing the agreement between LWRM1 and LWRM2 for the ACM-TWEB corpus.
Python Source Code - 1.2 KB - MD5: cb73b306bcde20f38c489f57f7a464bd
Jul 18, 2020
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
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.
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