Reputation: 73
Working on a project to sentiment analyse stocks using nltk. I've searched through GH and found nothing similar for sentimaent_analyser or popularity_scores calls.
I also looked at Python 3.4 - 'bytes' object has no attribute 'encode' and it is not a duplicate as I'm not calling bcrypt.gensalt().encode('utf-8'). Though it does hint a the issue of something being the wrong type.
Can anyone help in resolving this error?
I get the error:
/lib/python3.5/site-packages/nltk/sentiment/vader.py in init(self, text) 154 def init(self, text): 155 if not isinstance(text, str): --> 156 text = str(text.encode('utf-8')) 157 self.text = text 158 self.words_and_emoticons = self._words_and_emoticons()
AttributeError: 'bytes' object has no attribute 'encode'
The dataframe df_stocks.head(5) is :
prices articles
2007-01-01 12469 What Sticks from '06. Somalia Orders Islamist...
2007-01-02 12472 Heart Health: Vitamin Does Not Prevent Death ...
2007-01-03 12474 Google Answer to Filling Jobs Is an Algorithm...
2007-01-04 12480 Helping Make the Shift From Combat to Commerc...
2007-01-05 12398 Rise in Ethanol Raises Concerns About Corn as...
The code is below with the error occuring on the last line:
import numpy as np
import pandas as pd
from nltk.classify import NaiveBayesClassifier
from nltk.corpus import subjectivity
from nltk.sentiment import SentimentAnalyzer
from nltk.sentiment.util import *from nltk.sentiment.vader import SentimentIntensityAnalyzer
import unicodedata
for date, row in df_stocks.T.iteritems():
sentence = unicodedata.normalize('NFKD', df_stocks.loc[date, 'articles']).encode('ascii','ignore')
ss = sid.polarity_scores(sentence)
Thanks
Upvotes: 1
Views: 2726
Reputation: 26896
From the unicodedata.normalize() docs, the method is convert a UNICODE string into a common format string.
import unicodedata
print(unicodedata.normalize('NFKD', u'abcdあäasc').encode('ascii', 'ignore'))
It will get :
b'abcdaasc'
So, the issue is here: df_stocks.loc[date, 'articles']
is not a UNICODE string.
Upvotes: 1