Playing with textblob

sentiment-notrain.py

# coding: utf-8

# In[20]:

from textblob import TextBlob
from textblob.sentiments import NaiveBayesAnalyzer


# In[2]:

text="""I understand that I'm an assistant, but it doesn't make me a woman. Please stop calling me "ma'am."
I'll have you know I identify as an attack helicopter and the correct pronoun is he, as in he-licopter."""


# In[3]:

blob = TextBlob(text)


# In[4]:

import nltk


# In[16]:

nltk.download()


# In[7]:

blob.tags


# In[10]:

for sentence in blob.sentences:
    print(sentence.sentiment)


# In[11]:

blob.sentences


# In[25]:

text = '''
Remember before Twitter when you took a photo of food, got the film developed, then drove around showing everyone the pic? No? Me neither.
'''


# In[26]:

blob = TextBlob(text, analyzer=NaiveBayesAnalyzer())


# In[27]:

for sentence in blob.sentences:
    print(sentence.sentiment)


# In[28]:

blob = TextBlob(text)


# In[29]:

for sentence in blob.sentences:
    print(sentence.sentiment)