diff --git a/bin/SentimentAnalyser.py b/bin/SentimentAnalyser.py
new file mode 100644
index 00000000..efb2ede6
--- /dev/null
+++ b/bin/SentimentAnalyser.py
@@ -0,0 +1,60 @@
+#!/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)