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SEACrowd/malaysia_tweets

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The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence: unknown, from the tagEvidence: README.md at 12bdd48
Licence files: LICENSE, licence not identifiedEvidence: LICENSE at 12bdd48
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

sentiment-analysis

Citation text from the card

@InProceedings{10.1007/978-981-16-8515-6_44,
author="Juan, Sarah Samson
and Saee, Suhaila
and Mohamad, Fitri",
editor="Alfred, Rayner
and Lim, Yuto",
title="Social Versus Physical Distancing: Analysis of Public Health Messages at the Start of COVID-19 Outbreak in Malaysia Using Natural Language Processing",
booktitle="Proceedings of the 8th International Conference on Computational Science and Technology",
year="2022",
publisher="Springer Singapore",
address="Singapore",
pages="577--589",
abstract="The study presents an attempt to analyse how social media netizens in Malaysia responded to the calls for ``Social Distancing'' and ``Physical Distancing'' as the newly recommended social norm was introduced to the world
as a response to the COVID-19 global pandemic. The pandemic drove a sharp increase in social media platforms' use as a public health communication platform since the first wave of the COVID-19 outbreak in Malaysia in April 2020.
We analysed thousands of tweets posted by Malaysians daily between January 2020 and August 2021 to determine public perceptions and interactions patterns. The analysis focused on positive and negative reactions
and the interchanges of uses of the recommended terminologies ``social distancing'' and ``physical distancing''. Using linguistic analysis and natural language processing,
findings dominantly indicate influences from the multilingual and multicultural values held by Malaysian netizens, as they embrace the concept of distancing as a m

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A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.

dataset_licence({ "id": "SEACrowd/malaysia_tweets" })
signal: "unclear"
stated_licence: "unknown"
sources: 0