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####################################################################################### | |||
# TweetMotif is licensed under the Apache License 2.0: | |||
# http://www.apache.org/licenses/LICENSE-2.0.html | |||
# | |||
# Copyright Brendan O'Connor, Michel Krieger, and David Ahn, 2009-2010. | |||
####################################################################################### | |||
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""" emoticon recognition via patterns. tested on english-language twitter, but | |||
probably works for other social media dialects. """ | |||
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__author__ = "Brendan O'Connor (anyall.org, brenocon@gmail.com)" | |||
__version__= "april 2009" | |||
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#from __future__ import print_function | |||
import re,sys | |||
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mycompile = lambda pat: re.compile(pat, re.UNICODE) | |||
#SMILEY = mycompile(r'[:=].{0,1}[\)dpD]') | |||
#MULTITOK_SMILEY = mycompile(r' : [\)dp]') | |||
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NormalEyes = r'[:=]' | |||
Wink = r'[;]' | |||
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NoseArea = r'(|o|O|-)' ## rather tight precision, \S might be reasonable... | |||
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HappyMouths = r'[D\)\]]' | |||
SadMouths = r'[\(\[]' | |||
Tongue = r'[pP]' | |||
OtherMouths = r'[doO/\\]' # remove forward slash if http://'s aren't cleaned | |||
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Happy_RE = mycompile( '(\^_\^|' + NormalEyes + NoseArea + HappyMouths + ')') | |||
Sad_RE = mycompile(NormalEyes + NoseArea + SadMouths) | |||
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Wink_RE = mycompile(Wink + NoseArea + HappyMouths) | |||
Tongue_RE = mycompile(NormalEyes + NoseArea + Tongue) | |||
Other_RE = mycompile( '('+NormalEyes+'|'+Wink+')' + NoseArea + OtherMouths ) | |||
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Emoticon = ( | |||
"("+NormalEyes+"|"+Wink+")" + | |||
NoseArea + | |||
"("+Tongue+"|"+OtherMouths+"|"+SadMouths+"|"+HappyMouths+")" | |||
) | |||
Emoticon_RE = mycompile(Emoticon) | |||
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#Emoticon_RE = "|".join([Happy_RE,Sad_RE,Wink_RE,Tongue_RE,Other_RE]) | |||
#Emoticon_RE = mycompile(Emoticon_RE) | |||
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def analyze_tweet(text): | |||
h= Happy_RE.search(text) | |||
s= Sad_RE.search(text) | |||
if h and s: return "BOTH_HS" | |||
if h: return "HAPPY" | |||
if s: return "SAD" | |||
return "NA" | |||
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# more complex & harder, so disabled for now | |||
#w= Wink_RE.search(text) | |||
#t= Tongue_RE.search(text) | |||
#a= Other_RE.search(text) | |||
#h,w,s,t,a = [bool(x) for x in [h,w,s,t,a]] | |||
#if sum([h,w,s,t,a])>1: return "MULTIPLE" | |||
#if sum([h,w,s,t,a])==1: | |||
# if h: return "HAPPY" | |||
# if s: return "SAD" | |||
# if w: return "WINK" | |||
# if a: return "OTHER" | |||
# if t: return "TONGUE" | |||
#return "NA" | |||
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if __name__=='__main__': | |||
for line in sys.stdin: | |||
import sane_re | |||
sane_re._S(line[:-1]).show_match(Emoticon_RE, numbers=False) | |||
#print(analyze_tweet(line.strip()), line.strip(), sep="\t") | |||
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