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Ukraine Twitter Keyword Sentiment Dataset
Social Media and Posts
Tags and Keywords
Trusted By
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Free
About
10,000 social media records focuses on determining the emotional tone behind messages related to the keyword "Ukraine." It captures, identifies, and classifies the sentiments expressed in these text sources. The underlying data was gathered using the Tweepy library to access the Twitter API, and sentiment values were subsequently derived utilizing the Textblob library. This forms a ready-to-use dataset for sentiment analysis projects.
Columns
- Tweet: The full text of the tweet concerning Ukraine.
- Polarity: A numerical value indicating the sentiment polarity of the tweet, generally ranging from -1.0 (most negative) to 1.0 (most positive).
- Subjectivity: A numerical value indicating the subjectivity of the tweet, ranging from 0.0 (most objective/factual) to 1.0 (most subjective/opinion-based).
- Sentiment: The classified sentiment of the tweet, typically categorised as Negative or Positive.
Distribution
The dataset contains 10,000 individual records, stored as data frames, likely in CSV format (
Ukraine_10K_tweets_sentiment_analysis.csv which is 1.55 MB). The structure includes 4 columns per record. Data quality shows that 98% of the records are valid, with 168 records (2%) containing missing values across the sentiment-related fields. The expected update frequency is annually.Usage
This data is highly suitable for research in political science and media studies, enabling analysts to track shifts in public opinion and emotional tone regarding Ukraine. Ideal applications include social listening projects, predictive modelling of online discussions, and educational exercises in natural language processing and text mining.
Coverage
The scope of this data is centred exclusively on content sourced from Twitter that contains the keyword "Ukraine." It reflects the opinions and expressions of a global user base engaging with this specific topic during the scraping period.
License
CC0: Public Domain
Who Can Use It
This dataset is invaluable for researchers who need labelled text data for training sentiment models or performing detailed descriptive analysis of large-scale social media discussions. Data scientists, academic researchers, and media monitoring services are the key intended users, focusing on extracting insights related to public reactions and discourse surrounding the topic.
Dataset Name Suggestions
- Ukraine Twitter Keyword Sentiment Dataset (10K)
- Social Media Polarity and Subjectivity on Ukraine
- Global Twitter Sentiment Analysis for Ukraine
- Online Communities Data: Ukraine Keyword
Attributes
Original Data Source: Ukraine Twitter Keyword Sentiment Dataset
QUALITY