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pynn.py
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pynn.py
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import nltk
from nltk.corpus import sentiwordnet as swn
from nltk.corpus import treebank as tb
from nltk.sentiment.vader import SentimentIntensityAnalyzer
import os
import azapi
import re
import unicodedata
import string
from nltk.tokenize import sent_tokenize
class analyze():
'''
Start analyzing the words
'''
def setup_analysis(self,clientID='', userID='', _artist_name='', _song_name='', _album_title=''):
#get the file name
check = azapi.generating(clientID=clientID,\
userID=userID,\
artist=_artist_name,\
title= _song_name,\
album=_album_title,\
save = True
)
#print(check)
if(check == 0):
return 0, 0
fname = _artist_name.replace(' ', '-') + '_' + _song_name.replace(' ', '-') + '.txt'
#veriffy we got the right name
#print(fname)
#(fname)
#open the file
file_obj = open(fname.lower(), 'r')
#put an array of the lines in a variable
sentences = file_obj.readlines()
new_sent = []
for x in sentences:
temp = nltk.tokenize.sent_tokenize(x)
for y in temp:
new_sent.append(y)
sentences = new_sent
#setup an intensities array
intensities = []
#keep track of the lines processed
lines = 0
sid = SentimentIntensityAnalyzer()
#go through an analyze each of the sentences
for sentence in sentences:
if sentence.startswith('['):
#must find the second [
loc = sentence.find(']')
sentence = sentence[loc : len(sentence)]
if sentence.startswith('***'):
continue
if sentence == '\n':
continue
if sentence == 'At the moment nobody has submitted lyrics for this song to our archive.':
#this is a problem it means there are no lyrics to the stong
return 0, 0
lines += 1
#print(sentence)
ss = sid.polarity_scores(sentence)
temp = []
for k in sorted(ss):
j = ss[k]
temp.append(j)
intensities.append(temp)
total = [0.0, 0.0, 0.0, 0.0]
for intensity in intensities:
total[0] += intensity[0]
total[1] += intensity[1]
total[2] += intensity[2]
total[3] += intensity[3]
total[0] = total[0] / lines
total[1] = total[1] / lines
total[2] = total[2] / lines
total[3] = total[3] / lines
#print(total)
return total , fname
def teardown(self, file_name):
#remove the file
print("I would have removed something")
os.remove(file_name.lower())
def cleanse(self, s):
s = s.replace('\'', '')
r = re.compile(r'[{}]+'.format(re.escape(string.punctuation)))
ex = r.sub('', s)
ex = re.sub('[^0-9a-zA-Z]+', ' ', s)
#check if the last char is white space
if len(ex) == 0:
return ex
if ex[(len(ex) - 1)] == ' ':
return ex[0: len(ex) - 1]
return ex;
def remove_feat(self, s):
loc = s.lower().find('feat')
if loc > 0:
return s[0 : loc]
return s
def remove_accents(self, input_str):
nfkd_form = unicodedata.normalize('NFKD', input_str)
return u"".join([c for c in nfkd_form if not unicodedata.combining(c)])
def pynn_test( fname=''):
file_obj = open(fname.lower(), 'r')
# put an array of the lines in a variable
sentences = file_obj.readlines()
new_sent = []
for x in sentences:
temp = nltk.tokenize.sent_tokenize(x)
for y in temp:
new_sent.append(y)
sentences = new_sent
print(sentences)
# setup an intensities array
intensities = []
# keep track of the lines processed
lines = 0
sid = SentimentIntensityAnalyzer()
# go through an analyze each of the sentences
for sentence in sentences:
if sentence.startswith('['):
# must find the second [
loc = sentence.find(']')
sentence = sentence[loc: len(sentence)]
if sentence.startswith('***'):
continue
if sentence == '\n':
continue
if sentence == 'At the moment nobody has submitted lyrics for this song to our archive.':
# this is a problem it means there are no lyrics to the stong
return 0, 0
lines += 1
# print(sentence)
ss = sid.polarity_scores(sentence)
temp = []
for k in sorted(ss):
j = ss[k]
temp.append(j)
intensities.append(temp)
total = [0.0, 0.0, 0.0, 0.0]
for intensity in intensities:
total[0] += intensity[0]
total[1] += intensity[1]
total[2] += intensity[2]
total[3] += intensity[3]
total[0] = total[0] / lines
total[1] = total[1] / lines
total[2] = total[2] / lines
total[3] = total[3] / lines