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Global Monkeypox Twitter Data
Social Media and Posts
Tags and Keywords
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Free
About
This dataset contains tweets regarding Monkeypox, collected specifically for data analysis and Natural Language Processing (NLP) tasks. It offers a valuable resource for researchers and developers aiming to understand public discourse, track sentiment, or build algorithms capable of classifying Monkeypox-related tweets [1, 2].
Columns
The dataset comprises eight important columns:
- date: The date when the tweet was posted [1].
- time: The time of the tweet [1].
- id: The unique Twitter username identifier of the person who tweeted about Monkeypox [1].
- tweet: The actual text content of the tweet related to Monkeypox [1].
- language: The language in which the tweet was written [1].
- replies_count: The total number of replies a tweet received [1].
- retweets_count: The total number of retweets for a particular tweet [1].
- likes_count: The total number of likes a tweet garnered [1].
Distribution
The dataset is provided as a CSV data file [1]. The file size is 2.01 MB [3]. It contains approximately 10,000 tweets [4-9].
Usage
This dataset is ideally suited for various applications, including:
- Data analysis on social media trends related to health topics [1].
- Natural Language Processing (NLP) projects, such as sentiment analysis or topic modelling [1].
- Developing machine learning algorithms to predict or classify tweets about Monkeypox [2].
- Understanding public perception and discussion surrounding the Monkeypox disease [1].
Coverage
The dataset primarily includes tweets from 19th August 2022 based on the 'date' column [4]. However, time-related metadata within the dataset indicates activity spanning from 3rd September to 4th September 2022 [5]. The tweets are predominantly in English (88%), with a smaller percentage in Filipino (2%) and other languages (10%), suggesting a global scope with a strong focus on English-speaking discourse [7]. Geographic or specific demographic scopes are not detailed in the provided information [10].
License
CC0: Public Domain
Who Can Use It
This dataset is particularly useful for:
- Data scientists and analysts engaged in social media research [1].
- Natural Language Processing practitioners and students learning NLP concepts and building text classification models [2].
- Public health researchers interested in digital epidemiology and understanding disease-related discussions online [1].
- Anyone planning to create an algorithm to predict whether a tweet is about Monkeypox [2].
Dataset Name Suggestions
- Monkeypox Tweets for NLP
- Global Monkeypox Twitter Data
- Social Media Discourse on Monkeypox
- Monkeypox Public Health Tweet Analysis
- Twitter Scrape: Monkeypox Discussions
Attributes
Original Data Source: Global Monkeypox Twitter Data
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