Poultry Farming Stakeholder Sentiments from Social Media

A corpus of textual data containing stakeholder sentiments and comments related to precision livestock farming. The dataset, created by Stephen Afrifa and last updated in May 2026, focuses on social media posts and is shared under a CC0 1.0 license. Its 1.7 MB size suggests a small to moderate collection of text entries.

Use Cases

• Sentiment analysis of stakeholder opinions based on textual comments.
• Monitoring social media discourse for operational intelligence in poultry farming.
• Training NLP models for text classification in the precision agriculture domain.

Strengths

• Dataset is 1.7 MB, indicating a directly downloadable and manageable size.
• Released under a permissive CC0 1.0 public domain license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Stephen Afrifa

Collection Method

Likely gathered from social media platforms, as indicated by the description.

Freshness

Last updated 2026-05-10 02:54:26; freshness should be verified.