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6,671 to 6,680 of 7,657 Results
ReutersOrderedBigrams.npy
Jul 21, 2020 - Ordered Bigrams, Ordered Bigram Dictionaries, All Bigrams, Master Bigram Dictionary, and Sorted Master Bigram Dictionary
Unknown - 57.0 MB - MD5: 48c0421d17cae706cb45fe100a51d907
ReutersSortedMasterBigramDict.npy
Jul 21, 2020 - Ordered Bigrams, Ordered Bigram Dictionaries, All Bigrams, Master Bigram Dictionary, and Sorted Master Bigram Dictionary
Unknown - 19.8 MB - MD5: 5864881ebc111c7ce76fba5cad7c60f5
ReutersAllWords.npy
Jul 21, 2020 - Ordered Words, Ordered Dictionaries, All Words, Master Dictionary, and Sorted Master Dictionary
Unknown - 180.8 MB - MD5: be7e3045841d97c668496566ef79bd31
ReutersMasterDict.npy
Jul 21, 2020 - Ordered Words, Ordered Dictionaries, All Words, Master Dictionary, and Sorted Master Dictionary
Unknown - 1.4 MB - MD5: d9ae63e5f4fe106f927a105f7136ea96
ReutersOrderedDicts.npy
Jul 21, 2020 - Ordered Words, Ordered Dictionaries, All Words, Master Dictionary, and Sorted Master Dictionary
Unknown - 24.9 MB - MD5: 67f331ad73223901c69abf9b75af1467
ReutersOrderedWords.npy
Jul 21, 2020 - Ordered Words, Ordered Dictionaries, All Words, Master Dictionary, and Sorted Master Dictionary
Unknown - 21.9 MB - MD5: 956fa239f9b65af285b0c35c661ce14e
ReutersSortedMasterDict.npy
Jul 21, 2020 - Ordered Words, Ordered Dictionaries, All Words, Master Dictionary, and Sorted Master Dictionary
Unknown - 1.4 MB - MD5: fe8ce9a10a7555510859b3d4f4894024
Reuters News Corpus(Nanyang Technological University)
Jul 21, 2020The Log Word Rank Movement Method for Keyword Identification
This dataverse contains all the npy files generated and used in the project on the Log Word Rank Movement Method for Keyword Identification.
wrongCorpus.npy
Jul 21, 2020 - ACM-TSEM Corpus for Testing the Use of Wrong Ranks or Wrong Corpus
Unknown - 21.9 KB - MD5: b886c37056a32736401fac6932ca59d7
TWEB-LWRM1&LWRM2-bigramBased.npy
Jul 21, 2020 - Bigram-Based Comparison of Keywords From Different Methods for ACM-TWEB Corpus
Unknown - 99.5 KB - MD5: ab136785f550d395a9ee6c9446f0ee92
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