I want to check if name, industry, title or geograpic info, any of these are present in a sentence. I couldn't find a way to do this, so I decided to check the tags of the words, if Proper Noun (NNP), I consider it as a Personalized sentence.
My logic is as below
def pers(sentence):
for sent in nltk.sent_tokenize(sentence):
for chunk in nltk.ne_chunk(nltk.pos_tag(nltk.word_tokenize(sent))):
if hasattr(chunk, 'label'):
print(chunk.label(), ' '.join(c[0] for c in chunk))
Now when I pass
sentence = "Hey Marsh We saw you checking out the new collection."
It gives this output
PERSON Hey
Why is it considering Hey as a Person? And Why is it not considering Marsh as a Person?
Also when I pass sentence = "this could be you Jana"
It does not detect any name, While Jana is a name of a person.
Is there any way I can fix this? Any help would be appreciated, Thank you.
