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Deposit, archive and share your final research data in DR-NTU (Data)

DR-NTU (Data) is for research data deposit. For research paper deposits, please use DR-NTU.

Mission: DR-NTU (Data) curates, stores, preserves, makes available and enables the download of digital data generated by the NTU research community. The repository develops and provides guidance for managing, sharing, and reusing research data to promote responsible data sharing in support of open science and research integrity.

Who can deposit? NTU faculty, research staff and students.

What can be deposited? Final, non-sensitive research data from projects carried out at NTU. The uploaded content must not infringe upon the copyrights or other intellectual property rights, and must be void of all identifiable information.

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Useful links: FAQs | Collection Guidelines | NTU Research Data Management | General terms of use and Privacy policy

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59,381 to 59,390 of 73,650 Results
News-RAKE&TFIDF-bigramValue.npy
Jul 21, 2020 - Bigram-Based Comparison of Keywords From Different Methods for Reuters News Corpus
Unknown - 1.5 MB - MD5: c04fa668496b5e72231f84ed29c60049
Word-Based Comparison of Keywords From Different Methods for Reuters News Corpus
Jul 21, 2020 - Reuters News Corpus
Cheong, Siew Ann, 2020, "Word-Based Comparison of Keywords From Different Methods for Reuters News Corpus", https://doi.org/10.21979/N9/1YOH1P, DR-NTU (Data), V1
npy files containing the number of matching words as a function of list length for different pairs of methods applied to the Reuters news corpus.
News-LWRM1&LWRM2-wordBased.npy
Jul 21, 2020 - Word-Based Comparison of Keywords From Different Methods for Reuters News Corpus
Unknown - 585.6 KB - MD5: cbfc99e6ee4efd16481aa32a7834829e
News-LWRM1&RAKE-wordBased.npy
Jul 21, 2020 - Word-Based Comparison of Keywords From Different Methods for Reuters News Corpus
Unknown - 584.7 KB - MD5: 40afa1fa34ed066a449853602732f278
News-LWRM1&TFIDF-wordBased.npy
Jul 21, 2020 - Word-Based Comparison of Keywords From Different Methods for Reuters News Corpus
Unknown - 22.7 KB - MD5: e5f95ea81206486fe39e1a2a0540b6f5
News-LWRM2&RAKE-wordBased.npy
Jul 21, 2020 - Word-Based Comparison of Keywords From Different Methods for Reuters News Corpus
Unknown - 446.7 KB - MD5: b4dd04bb38498e106acf02cb40b36ef4
News-LWRM2&TFIDF-wordBased.npy
Jul 21, 2020 - Word-Based Comparison of Keywords From Different Methods for Reuters News Corpus
Unknown - 392.0 KB - MD5: 5375718d8d783adb59bbef117caccb35
News-RAKE&TFIDF-wordBased.npy
Jul 21, 2020 - Word-Based Comparison of Keywords From Different Methods for Reuters News Corpus
Unknown - 379.2 KB - MD5: cfdeff1b685fc40cb21df39a6051ceac
Log Rank Movements
Jul 21, 2020 - Reuters News Corpus
Cheong, Siew Ann, 2020, "Log Rank Movements", https://doi.org/10.21979/N9/S6XPII, DR-NTU (Data), V1
npy files for the log rank movements for words and bigrams of Reuters news corpus.
ReutersOrderedLogBigramRankMovements.npy
Jul 21, 2020 - Log Rank Movements
Unknown - 15.2 MB - MD5: 5e2edacb93d79be109aa68721841df95
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