Update README.md

README.md

@@ -2,7 +2,8 @@
 license: gpl-3.0
 ---
 
-The mft_model_ita.pth file contains the trained weights of a bert-based model fine-tuned for classifying text according to both the <b>moral dyad</b> discussed, i.e., one of
+The model aims to assess the moral dimension of Twitter posts in Italian about immigration.
+Namely, limited to the immigration subject, the model is capable to classify tweets according to the expression of both moral dyads:
 
 * 0:care/harm
 * 1:fairness/cheating
@@ -11,7 +12,7 @@ The mft_model_ita.pth file contains the trained weights of a bert-based model fi
 * 4:purity/degradation
 * 5:no moral
 
-and the <b>focus concern</b>, i.e, one of
+and <b>focus concerns</b>, i.e, one of
 * 0:prescriptive
 * 1:prohibitive
 * 2:no focus