731 to 740 of 771 Results
Jul 18, 2020 -
Log Word Rank Movements of Stop Words for ACM-TWEB Corpus
Unknown - 25.6 KB -
MD5: 911670102e29e662f70037997fc78eb6
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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. |
Jul 18, 2020 -
List of Stop Words
Unknown - 7.1 KB -
MD5: 38164f143b7c2114d6cc2d597ff68e94
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Jul 18, 2020 - Python Scripts
Cheong, Siew Ann, 2020, "Bigram Rank Plot", https://doi.org/10.21979/N9/H3PH6V, DR-NTU (Data), V1
Python script to generate the bigram rank plot for the ACM-TWEB corpus. |
Jul 18, 2020 -
Bigram Rank Plot
Python Source Code - 919 B -
MD5: 81e2ff8416ff7553ef38ca73a7c15fd4
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Jul 18, 2020 - Python Scripts
Cheong, Siew Ann, 2020, "Word Rank Plot", https://doi.org/10.21979/N9/CEGKQB, DR-NTU (Data), V1
Python script to generate the word rank plot for the ACM-TWEB corpus. |
Jul 18, 2020 -
Word Rank Plot
Python Source Code - 901 B -
MD5: ab0fb475116c5703e1264a24c77fbebd
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Jul 18, 2020The Log Word Rank Movement Method for Keyword Identification
This dataverse contains all the Python scripts used in the project developing the Log Word Rank Movement Method for Keyword Identification. |
Jul 18, 2020 - ACM Transactions on the Web
Cheong, Siew Ann, 2020, "ACM-TWEB Ordered Log Bigram Rank Movements", https://doi.org/10.21979/N9/SIN4OV, DR-NTU (Data), V1
npy file containing list of all log bigram rank movements ordered from most negative to the most positive for the ACM-TWEB corpus. |
Jul 18, 2020 -
ACM-TWEB Ordered Log Bigram Rank Movements
Unknown - 301.8 KB -
MD5: 4523fb03ae8ce39822651a16097203e1
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