Update strengths_and_weaknesses.txt

strengths_and_weaknesses.txt

@@ -1,10 +1,10 @@
 strengths
 - the model is trained with almost 15.000 comments and the distribution of the rates are balanced
-- it can predict the rating very accurate if the actual rating is in the interval [1,4]
-- capital letters does not effect the output rating
+- it can predict the rating more accurate if the actual rating is in between 2 and 4
+- capital letters does not affect the output rating
 
 weaknesses
-- the model is having trouble with predicting the rating if the actual rating is close to 0 and 5
+- the model is having trouble with predicting if the given rating is not consistent with comment itself in terms of sentiment
 - longer comments tends to be considered as average rating since it increases the neutral score
-- typo in the comment is effecting the result
-- exclamation mark and emojis effects the output rating
+- typo in the comment is affecting the result
+- exclamation mark and emojis are also affects the output rating