Update README.md

README.md

@@ -13,11 +13,17 @@ Here, the context is the sentiment of the author depicted in the sentence.
 There are three classes; postitive, negative and neutral.
 This model outputs following classnames according to the sentiment:
 </br>
-p = positive
-</br>
-n = negative
-</br>
-o = other/neutral
+<ul>
+  <li>
+    Positive sentiment in context is classified as <b>p</b>
+  </li>
+    <li>
+    Negative sentiment in context is classified as <b>n</b>
+  </li>
+    <li>
+    Neutral sentiment in context is classified as (other) <b>o</b>
+  </li>
+</ul>
 </br>
 </br>
 For finetuning, the publicly available dataset on context identification from Angrosh et al. https://dl.acm.org/doi/10.1145/1816123.1816168 is used.