<p>Sentiment distribution in digital coverage by platform. Percentage distribution of nega

Ruchishree Konhar published a dataset on figshare in March 2026 containing the percentage distribution of negative, neutral, and positive sentiment in digital media items. The data, derived from automated text-mining analyses, covers YouTube and Google News items mentioning key neglected tropical diseases in India. The dataset is 5.5 KB in size and is available in XLS format under a CC-BY-4.0 license.

Use Cases

• Compare sentiment polarity between YouTube and Google News based on the described platform-specific distributions.
• Analyze public discourse on neglected tropical diseases in India based on automated text-mining results.
• Inform targeted health communication strategies based on the sentiment trends identified in digital coverage.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Includes sentiment data for kala-azar, which was excluded from a related published figure for completeness.
• Data is derived from automated text-mining analyses of publicly accessible social media and news platforms.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Sample size for some diseases like kala-azar is noted as very low in the source publication.

Provenance

Source

Ruchishree Konhar via figshare.

Collection Method

Automated text-mining analyses of YouTube and Google News items.

Freshness

Last updated 2026-03-18 17:28:28; freshness should be verified.

Geography

India