def analyze_statement(self): """Analyzes the douchiness of the words in statment.""" self.extract_words(self.string) counter = 0 score = 0 for word in self.word_list: if word_sentiments.get(word) != None: score += word_sentiments.get(word) counter += 1 if counter != 0: self.total_douchiness += score/counter
def analyze_tweet_sentiment(tweet):
""" Return a sentiment representing the degree of positive or negative
sentiment in the given tweet, averaging over all the words in the tweet
that have a sentiment value.
If no words in the tweet have a sentiment value, return
make_sentiment(None).
>>> positive = make_tweet('i love my job. #winning', None, 0, 0)
>>> round(sentiment_value(analyze_tweet_sentiment(positive)), 5)
0.29167
>>> negative = make_tweet("saying, 'i hate my job'", None, 0, 0)
>>> sentiment_value(analyze_tweet_sentiment(negative))
-0.25
>>> no_sentiment = make_tweet("berkeley golden bears!", None, 0, 0)
>>> has_sentiment(analyze_tweet_sentiment(no_sentiment))
False
"""
# You may change any of the lines below.
words = tweet_words(tweet)
net_sent = 0.0
count = 0
for i in range(0,len(words)):
curr_sent = make_sentiment(word_sentiments.get(words[i]))
if has_sentiment(curr_sent):
sent_val = sentiment_value(curr_sent)
if type(curr_sent == float):
count += 1
net_sent += sent_val
if count > 0:
return make_sentiment(net_sent/count)
return make_sentiment(None)
def get_word_sentiment(word):
"""Return a sentiment representing the degree of positive or negative
feeling in the given word, if word is not in the sentiment dictionary.
>>> sentiment_value(get_word_sentiment('good'))
0.875
>>> sentiment_value(get_word_sentiment('bad'))
-0.625
>>> sentiment_value(get_word_sentiment('winning'))
0.5
>>> has_sentiment(get_word_sentiment('Berkeley'))
False
"""
return make_sentiment(word_sentiments.get(word, None))
def get_word_sentiment(word):
"""Return a sentiment representing the degree of positive or negative
feeling in the given word.
>>> sentiment_value(get_word_sentiment('good'))
0.875
>>> sentiment_value(get_word_sentiment('bad'))
-0.625
>>> sentiment_value(get_word_sentiment('winning'))
0.5
>>> has_sentiment(get_word_sentiment('Berkeley'))
False
"""
return make_sentiment(word_sentiments.get(word, None))
def get_word_sentiment(word):
"""Return a sentiment representing the degree of positive or negative
feeling in the given word.
>>> sentiment_value(get_word_sentiment('good'))
0.875
>>> sentiment_value(get_word_sentiment('bad'))
-0.625
>>> sentiment_value(get_word_sentiment('winning'))
0.5
>>> has_sentiment(get_word_sentiment('Berkeley'))
False
"""
# Learn more: http://docs.python.org/3/library/stdtypes.html#dict.get
return make_sentiment(word_sentiments.get(word))
def get_word_sentiment(word):
"""Return a sentiment representing the degree of positive or negative
feeling in the given word.
>>> sentiment_value(get_word_sentiment('good'))
0.875
>>> sentiment_value(get_word_sentiment('bad'))
-0.625
>>> sentiment_value(get_word_sentiment('winning'))
0.5
>>> has_sentiment(get_word_sentiment('Berkeley'))
False
"""
# Learn more: http://docs.python.org/3/library/stdtypes.html#dict.get
return make_sentiment(word_sentiments.get(word))
def get_word_sentiment(word):
"""Return a number between -1 and +1 representing the degree of positive or
negative feeling in the given word.
Return None if the word is not in the sentiment dictionary.
(0 represents a neutral feeling, not an unknown feeling.)
>>> get_word_sentiment('good')
0.875
>>> get_word_sentiment('bad')
-0.625
>>> get_word_sentiment('winning')
0.5
>>> get_word_sentiment('Berkeley') # Returns None
"""
return word_sentiments.get(word, None)
def get_word_sentiment(word):
"""Return a number between -1 and +1 representing the degree of positive or
negative feeling in the given word.
Return None if the word is not in the sentiment dictionary.
(0 represents a neutral feeling, not an unknown feeling.)
>>> get_word_sentiment('good')
0.875
>>> get_word_sentiment('bad')
-0.625
>>> get_word_sentiment('winning')
0.5
>>> get_word_sentiment('Berkeley') # Returns None
"""
return word_sentiments.get(word, None)
def get_word_sentiment(word):
return make_sentiment(word_sentiments.get(word))
