ail-framework/bin/SentimentAnalyser.py

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2016-08-11 07:40:42 +00:00
#!/usr/bin/env python2
# -*-coding:UTF-8 -*
"""
Template for new modules
nltk.sentiment.vader module:
Hutto, C.J. & Gilbert, E.E. (2014). VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text. Eighth International Conference on Weblogs and Social Media (ICWSM-14). Ann Arbor, MI, June 2014.
"""
import time
from pubsublogger import publisher
from Helper import Process
from nltk.sentiment.vader import SentimentIntensityAnalyzer
from nltk import tokenize
def Analyse(message):
path = message
paste = Paste.paste(path)
content = paste.p_get_content()
sentences = tokenize.sent_tokenize(content.decode('utf-8', 'ignore'))
sid = SentimentIntensityAnalyzer()
for sentence in sentences:
print(sentence)
ss = sid.polarity_scores(sentence)
for k in sorted(ss):
print('{0}: {1}, '.format(k, ss[k]))
print ''
if __name__ == '__main__':
# If you wish to use an other port of channel, do not forget to run a subscriber accordingly (see launch_logs.sh)
# Port of the redis instance used by pubsublogger
publisher.port = 6380
# Script is the default channel used for the modules.
publisher.channel = 'Script'
# Section name in bin/packages/modules.cfg
config_section = '<section name>'
# Setup the I/O queues
p = Process(config_section)
# Sent to the logging a description of the module
publisher.info("<description of the module>")
# Endless loop getting messages from the input queue
while True:
# Get one message from the input queue
message = p.get_from_set()
if message is None:
publisher.debug("{} queue is empty, waiting".format(config_section))
time.sleep(1)
continue
# Do something with the message from the queue
Analyse(message)