Hands-On-Natural-Language-Processing-with-Python
Hands-On-Natural-Language-Processing-with-Python copied to clipboard
Error Finding
trafficstars

code: sample=["Iphone is not a bad phone"] sample=tfidf.transform(sample).toarray() #print(clf.predict(sample)) sentiment=(clf.predict(sample)) if 0.5<=sentiment<=1 : print("This is a positive sentence",sentiment) else: print("This is a negetive sentence",sentiment)
Output: This is a negetive sentence [0]
the sentence is a positive sentence but in the text classifier it removes not and count bad as a negetive word.How can i solve it