Update README.md

README.md

@@ -26,7 +26,7 @@ We applied the topic modeling method to both datasets, extracting 30 topics from
 These topics were characterized using the 10 most specific unigrams or bigrams. 
 We then compared the two sets of topics (30 from each dataset) and retained those in the accepted dataset that shared fewer than 2 terms with any topic in the rejected dataset
 
-We found the 13 distincitve following topics described by 10 terms each:
+We found the 13 distinctive following topics described by 10 terms each:
 
 
 **Emotional Dynamics**: feelings, Quinn, Austin, minority women, teaching, schools, individual, personality, backgrounds, triggers.