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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.

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74,101 to 74,109 of 74,109 Results
Plain Text - 179.9 KB - MD5: f5588b28e8d9bdaff80df6cfb725625e
DictionaryTextToolbox
Dictionary of words/morphemes from the dataset, made using the Toolbox software and kept in text (MDF) format.
Tab-Delimited - 5.6 KB - MD5: f905e66f60088b3b83d2988e4c808781
DocumentationMetadata
Tab-separated file with metadata on the sound files: Soundfile name, Length of recording, Text name corresponding to recording, Abbreviation for citation, No. of sentences in text, Date (DD-MM-YYYY), Location of recording, Subject of recording, Speaker name, Age of speaker, Gende...
Plain Text - 1.7 KB - MD5: 73bde15aef74a208d299a452561f1007
DocumentationMetadataText
Readme file for whole dataset.
Plain Text - 3.4 KB - MD5: 9402ea8dc7bacec93f38bb02b3153605
DocumentationMetadataTextToolbox
Readme for Toolbox-related files.
ZIP Archive - 166.6 KB - MD5: 6e57477e9101ad121347f6fd5b658cb2
SettingsToolbox
Toolbox settings for 'Pnar' project.
Plain Text - 3.8 MB - MD5: b16241b48d1b85ff34032ba8aa288eba
InterlinearTextToolbox
Interlinearized transcriptions of audio files, as a single Toolbox project file, ASCII format.
Plain Text - 3.8 MB - MD5: 04c54888a5bd3dcfed0dccab7ed78147
InterlinearTextToolbox
Interlinearized transcriptions of audio files, as a single Toolbox project file, UTF8 format.
Aug 4, 2017 - Christopher Khoo Soo Guan
Khoo, Christopher Soo Guan; Johnkhan, Sathik Basha, 2017, "WKWSCI Sentiment Lexicon v1.1", https://doi.org/10.21979/N9/DWWEBV, DR-NTU (Data), V1, UNF:6:WXasCd70LocE3IOqZSytug== [fileUNF]
WKWSCI Sentiment Lexicon v1.1 (named after the authors’ school Wee Kim Wee School of Communication & Information) is a new general-purpose sentiment lexicon. The lexicon is based on the 12dicts common American English word lists compiled by Alan Beale from twelve source dictionar...
Tabular Data - 579.5 KB - 3 Variables, 29834 Observations - UNF:6:WXasCd70LocE3IOqZSytug==
Data
The MS Excel spreadsheet includes 6 worksheets: 1. WKWSCI sentiment lexicon w POS 2. License 3. Statistics 4. WKWSCI sentiment lexicon no POS 5. Modifier lexicon 6. Multiword terms
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