Sentiment analysis

Sentiment analysis can provide valuable insights into the tone and emotional context of the corpus. This is particularly useful for examining how different issues are portrayed in different newspapers over time.

Mean Sentiment by Newspaper

Analysing mean sentiment by newspaper can provide important insights into the general tone that each newspaper adopts when discussing issues of interest. These visual representations can be a powerful way to compare how different newspapers approach various topics in the corpus, potentially revealing potential biases or differences in representation across different media.

Polarity: Values range from -1 to 1, with -1 indicating extremely negative sentiment, 1 indicating extremely positive sentiment and 0 indicating neutral sentiment.

Temporal Trends

Examining trends in sentiment over time can provide valuable insights into how public discourse on particular issues has evolved over time. By examining these graphs, you can identify significant fluctuations in sentiment, which can then be further analysed to understand their context or cause.

Mean Polarity: Measures the general positivity or negativity of articles published on each date.

Benin

Burkina Faso

Topic-Related Sentiment

Sentiment towards certain issues, Islamic associations or Muslim leaders may become more positive or negative in response to specific events or wider social changes. Here are some examples: