I am getting this error for AttributeError: 'NoneType' object has no attribute 'items. The code is as follows:
import nltk
import random
from nltk.corpus import movie_reviews
from nltk.classify import NaiveBayesClassifier
from nltk.probability import FreqDist
documents = [ (list(movie_reviews.words(fileid)), category)
for category in movie_reviews.categories()
for fileid in movie_reviews.fileids(category)]
random.shuffle(documents)
all_words = []
for w in movie_reviews.words():
all_words.append(w.lower())
all_words =nltk.FreqDist(all_words)
word_features = list(all_words.keys())[:3000]
print (word_features)
def find_features(documents):
words = set(documents)
features = {}
for w in word_features:
features[w] = (w in words)
featuresets = [(find_features(rev), category) for (rev, category) in
documents]
training_set = featuresets[:1500]
testing_set = featuresets[1500:]
classifier = nltk.NaiveBayesClassifier.train(training_set)
print ("Naive Bayes Classifier Algo Accuracy: ",nltk.classify.accuracy(classifier, testing_set))*100)
classifier.show_most_informative_features(15)
I have been following a video tutorial and it is the same code there. There it runs fine but here it shows the following error:
AttributeError: 'NoneType' object has no attribute 'items'
for the line
classifier = nltk.NaiveBayesClassifier.train(training_set)
What is the reason and the solution?
You're not returning the list from the function. In your find_feature function use:
def find_features(documents):
words = set(documents)
features = {}
for w in word_features:
features[w] = (w in words)
return features #ADD THIS LINE