Sentiment Analysis of 900+ Newspaper Articles on COVID-19 Vaccine Distribution in Mexico

Over 900 newspaper articles were analyzed for sentiment to gauge public perception of the Mexican government's COVID-19 vaccine distribution strategy. The dataset was created by Eva Selene Hernández Gress and is available via paperswithcode. The specific time period and source publications for the articles are not detailed.

Use Cases

• Train sentiment classification models based on news article text.
• Analyze media sentiment trends related to government vaccination strategies.
• Study the relationship between news reporting and public health policy perception.

Strengths

• Sentiment analysis is based on a corpus of over 900 newspaper articles.
• Focuses on a specific public health event (COVID-19 vaccine distribution in Mexico).

Limitations

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

Provenance

Source

Eva Selene Hernández Gress via paperswithcode

Collection Method

Sentiment analysis conducted on collected newspaper articles.

Geography

Mexico