Updated the Lemmatization code block

README.md

 # Main Objective
 
-**The main objective of this research part is to provide a customized fully detailed feedback for the user (speaker) about the usage** of correct facial expressions and usage of eye contact throughout the speech.
\ No newline at end of file
+The main objective of this research part is to provide a customized fully detailed feedback for the user (speaker) about the usage of correct facial expressions and usage of eye contact throughout the speech.
\ No newline at end of file

textAnalyze(NLTK).py

@@ -19,7 +19,7 @@ for word in tokenized_words:
     if word not in stopwords.words('english'):
         final_words.append(word)
 
-# Lemmatization - From plural to single + Base form of a word (example better-> good)
+# Lemmatization
 lemma_words = []
 for word in final_words:
     word = WordNetLemmatizer().lemmatize(word)