Update README.md

README.md

@@ -57,15 +57,14 @@ cleaned_resume_skills = clean_text(" ".join(resume_skills) if isinstance(resume_
 
 def clean_text(text):
     if isinstance(text, list):
-        text = " ".join(text)  # Join list elements into a single string
+        text = " ".join(text)  
     elif text is None:
-        text = ""  # Replace None with an empty string
-
-    text = re.sub(r'[^\w\s]', '', str(text))  # Convert to string and remove special characters
-    text = text.lower()  # Convert to lowercase
+        text = ""
+    text = re.sub(r'[^\w\s]', '', str(text))  
+    text = text.lower() 
     return text
 
-cleaned_resume_skills = clean_text(resume_skills)  # Now works with lists!
+cleaned_resume_skills = clean_text(resume_skills)  
 
 vectorizer = CountVectorizer(stop_words='english')
 job_desc_matrix = vectorizer.fit_transform(df['cleaned_job_info'])