Your Stance is Exposed! Analysing Possible Factors for Stance Detection on Social Media
Table 5. The result of baseline linear SVM model when combining both text and network features. Model (A) and (B) shows the result when trained on three and two classes, respectively.
['[BOLD] Model', 'F [ITALIC] favour', 'F [ITALIC] against', 'F [ITALIC] avg']
We further tested combining the best performing network features from the two networks (IN@+INDM) with (TXT) to see if this can further improve the performance. This result was found to be statistically significantly better than the state-of-the-art baseline model using two-tailed t-test with p−value < 0.05 (we also tested significance using Mann-Whitney U test (mcknight2010mann), but it did not show significance).