Aspect-based Sentiment Analysis of Scientific Reviews
Table 9. Correlation of the aspect sentiments with the final recommendation.
['Aspects', 'Pearson Correlation Co-eff']
We take the difference of average positive sentiments and average negative sentiments for all sentences in the review as the final sentiment scores at aspect level for each of the aspect. We then compute the Pearson correlation coefficients of the aspect level sentiment values and the final recommendation. We can see that the aspects clarity, empirical/ theoretical soundness and impact of ideas have higher correlation values than the other features.