4,751 to 4,760 of 5,040 Results
Oct 8, 2021 -
Dataset for acoustic room recognition
Unknown - 35.3 MB -
MD5: 0bf3f88386f140e819743a6312a94282
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Oct 8, 2021 -
Dataset for acoustic room recognition
Unknown - 35.4 MB -
MD5: d3166b586903c96d92fa4a51e18bcd52
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Oct 8, 2021 -
Dataset for acoustic room recognition
Unknown - 35.3 MB -
MD5: b83aa93ff74129373924f216bddb3b32
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Oct 8, 2021 -
Dataset for acoustic room recognition
Unknown - 35.3 MB -
MD5: d58027d312e230dbfa545350fb02931d
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Oct 8, 2021 -
Dataset for acoustic room recognition
Unknown - 35.4 MB -
MD5: 59cb1118ce4dd8e7ffc332656260a697
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Oct 8, 2021 -
Dataset for acoustic room recognition
Unknown - 35.3 MB -
MD5: fbb691536b28d2ff259fa5e7e87b0a8c
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Oct 8, 2021 -
Dataset for acoustic room recognition
Unknown - 35.3 MB -
MD5: 5f60899b2ce89c401bc86eef9062ebc9
|
Oct 8, 2021 -
Dataset for acoustic room recognition
Unknown - 35.4 MB -
MD5: ec1249f433c0d6d8a2f3ab024fe84f8d
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Jul 27, 2021 - Final Year Projects
Tan, Meng Jie Zachary, 2021, "The first year of the Covid-19 pandemic through the lens of r/Coronavirus subreddit: An exploratory study", https://doi.org/10.21979/N9/0LGZYN, DR-NTU (Data), V1
The dataset complements the following study: This study looks at the content on Reddit’s COVID-19 community, r/Coronavirus, to capture and understand the main themes and discussions around the global pandemic, and their evolution, over the first year. It is based on 356,690 submi... |
Jul 27, 2021 -
The first year of the Covid-19 pandemic through the lens of r/Coronavirus subreddit: An exploratory study
Jupyter Notebook - 5.3 KB -
MD5: 90a460a48256ad819b76dbb3f13295f8
Python notebook for crawling Reddit comments using Pushshift API |
