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Political Campaign Sentiment Tracker
Government & Civic Records
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About
This collection of Twitter data focuses on public opinion surrounding the 2020 US Presidential Election. It captures user replies directed at the official Twitter handles of the final two candidates, Donald Trump and Joe Biden. The data facilitates sentiment analysis, providing early insights into public reactions and allowing for potential pre-poll survey analysis and result prediction. It serves as an excellent resource for practicing data science fundamentals, including cleaning noisy text data.
Columns
The data is structured across two separate files, one dedicated to replies concerning Donald Trump and the other dedicated to Joe Biden. Both files contain two main fields:
- user: The Twitter handle name of the individual who posted the reply to the candidate's tweet. The Biden file, for example, contains 2277 unique user names across its records.
- text: The actual written content of the reply or response posted by the corresponding user.
Distribution
The product is delivered as two separate CSV files. The content was collected by scraping the Twitter handles of the two political runners for a period of one week using a Python script. For instance, the file related to Joe Biden (Bidenall2.csv) contains 2540 records and has a size of approximately 258.14 kB. The overall dataset structure is text-heavy and ready for immediate natural language processing tasks.
Usage
Ideal applications for this data include:
- Sentiment Analysis: Applying NLP libraries such as TextBlob to gauge public feeling and reaction towards the candidates’ tweets.
- Data Science Training: Utilising the dataset to improve skills in data cleaning and preparing unstructured text data, as the source includes significant noise.
- Exploratory Data Analysis (EDA): Conducting analysis and visualisation to reveal insights into public interaction patterns.
- Political Forecasting: Developing models or analysis for predicting the outcome of the upcoming elections by assessing prevailing public sentiment.
Coverage
The data scope is strictly limited to Twitter replies made to Donald Trump and Joe Biden during the campaigning period leading up to the US Presidential Election 2020. The collection period spanned one week. The subject matter is focused entirely on political sentiment related to the US election.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Data Scientists: For building and training advanced NLP models, focusing particularly on sentiment prediction and text classification.
- Data Analysts: To perform data visualisation and generate pre-poll survey style insights.
- Students and Educators: The data is suitable for revising fundamental data science skills, including data cleaning and analytical techniques.
Dataset Name Suggestions
- 2020 US Election Twitter Sentiment Data
- Biden vs Trump Twitter Replies Analysis
- Political Campaign Sentiment Tracker
- US Election Pre-Poll Twitter Survey
Attributes
Original Data Source:Political Campaign Sentiment Tracker
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