Emoji Sentiment Scores of Writers using Odds Ratio and Fisher Exact Test
This work addresses a specific statistical issue in sentiment analysis for researchers, but it is incremental as it modifies an existing method for low sample sizes.
The paper tackled the problem of calculating emoji sentiment scores by replacing traditional averaging with odds ratio and Fisher exact test, providing a list of scores with p-values and confidence intervals for common emoji.
The sentiment of a given emoji is traditionally calculated by averaging the ratings {-1, 0 or +1} given by various users to a given context where the emoji appears. However, using such formula complicates the statistical significance analysis particularly for low sample sizes. Here, we provide sentiment scores using odds and a sentiment mapping to a 4-icon scale. We show how odds ratio statistics leads to simpler sentiment analysis. Finally, we provide a list of sentiment scores with the often-missing exact p-values and CI for the most common emoji.