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641 to 650 of 683 Results
FindReutersLogBigramRankMovements.py
Jul 19, 2020 - Find Log Bigram Rank Movements of Reuters News Corpus
Python Source Code - 942 B - MD5: 40b5880c0b4c5d8f6287aeed868d2508
FindReutersLogWordRankMovements.py
Jul 19, 2020 - Find Log Word Rank Movements of Reuters News Corpus
Python Source Code - 908 B - MD5: 387ef43a6bbf146674547f8ae0b2fcfd
ReutersBigramCount.py
Jul 19, 2020 - Compute Ordered Bigrams, Ordered Dicts, All Bigrams, Master Dictionary, and Sorted Master Dictionary for Reuters News Corpus
Python Source Code - 1.5 KB - MD5: 7e297565b6fe0b14e7a9f91bce56c4b1
ReutersWordCount.py
Jul 19, 2020 - Compute Ordered Words, Ordered Dicts, All Words, Master Dictionary, and Sorted Master Dictionary for Reuters News Corpus
Python Source Code - 1.4 KB - MD5: f77e5d9eb3207a200e2d6605981416c9
TWEBstattestwrongranks.py
Jul 19, 2020 - Histograms of Significant and Insignificant Log Word Rank Movements for the ACM-TWEB Corpus, Using Log Word Rank Movements Computed using the ACM-TSEM Corpus
Python Source Code - 2.6 KB - MD5: 10d6c9daea3c365ceacf00152ccca218
TWEBstattestwrongmodel.py
Jul 19, 2020 - Histograms of Significant and Insignificant Log Word Rank Movements for the ACM-TWEB Corpus Tested Against the ACM-TSEM Corpus
Python Source Code - 2.6 KB - MD5: 7f65c01696b6143e88f0e81e18b36c60
TWEBstattestbigram.py
Jul 19, 2020 - Histograms of Significant and Insignificant Log Bigram Rank Movements for the ACM-TWEB Corpus
Python Source Code - 2.7 KB - MD5: 7aeec2ee4b41c6983453062e9ab99da3
TWEBstattestword.py
Jul 19, 2020 - Histograms of Significant and Insignificant Log Word Rank Movements for the ACM-TWEB Corpus
Python Source Code - 2.6 KB - MD5: 05efec365883d4bee360008a426a1d55
FindWrongLogWordRankMovements.py
Jul 19, 2020 - Find Log Word Rank Movements of ACM-TWEB abstracts using ACM-TSEM corpus
Python Source Code - 969 B - MD5: ba5f8530738622a77636ed19b3337455
compareTFIDFRAKEbigram.py
Jul 19, 2020 - Histogram of Bigram-Based Agreements Between TFIDF and RAKE for ACM-TWEB Corpus
Python Source Code - 1.2 KB - MD5: df9d6a9593bb3f098ab4512daec8e9c3
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