op_type_span.append(ele_id)
opinion_type.append(op_type_span)
opinion.append(opinion_type)
return opinion
if __name__ == '__main__':
my_time_stamp = True
try:
opts, args = getopt.getopt(sys.argv[1:],"",["no-time"])
for opt, arg in opts:
if opt == "--no-time":
my_time_stamp = False
except getopt.GetoptError:
pass
kafObj = KafParser(sys.stdin)
data_str = kafObj.getSentimentTriples()
data= convertPolarityToFloats(data_str)
my_data_neg = applyNegators(data)
my_data_neg_int = applyIntensifiers(my_data_neg)
total = computeTotal(my_data_neg_int)
opinionObj = createOpinion(kafObj,total)
kafObj.addLayer('opinions',opinionObj)
kafObj.addLinguisticProcessor('RuleBasedSentimentAnalyzer','1.0','opinion',time_stamp=my_time_stamp)
kafObj.saveToFile(sys.stdout)
print>>sys.stderr,'Example usage: cat myUTF8file.kaf.xml |',sys.argv[0]
sys.exit(-1)
my_time_stamp = True
try:
opts, args = getopt.getopt(sys.argv[1:],"",["no-time"])
for opt, arg in opts:
if opt == "--no-time":
my_time_stamp = False
except getopt.GetoptError:
pass
logging.debug('Starting stanford parser for German text')
logging.debug('Loading and parsing KAF file ...')
my_kaf = KafParser(sys.stdin)
lang = my_kaf.getLanguage()
if lang != 'de':
print>>sys.stdout,'ERROR! Language is',lang,'and must be "de" (German)'
sys.exit(-1)
logging.debug('Extracting sentences from the KAF')
termid_for_token = {}
lemma_for_termid = {}
for term in my_kaf.getTerms():
lemma_for_termid[term.getId()] = term.getLemma()
tokens_id = term.get_list_span()
for token_id in tokens_id:
termid_for_token[token_id] = term.getId()
print >> sys.stderr, 'Input stream required in KAF format at least with the text layer.'
print >> sys.stderr, 'The language encoded in the KAF has to be Dutch, otherwise it will raise an error.'
print >> sys.stderr, 'Example usage: cat myUTF8file.kaf.xml |', sys.argv[0]
sys.exit(-1)
my_time_stamp = True
try:
opts, args = getopt.getopt(sys.argv[1:], "", ["no-time"])
for opt, arg in opts:
if opt == "--no-time":
my_time_stamp = False
except getopt.GetoptError:
pass
logging.debug('Loading and parsing KAF file ...')
my_kaf = KafParser(sys.stdin)
lang = my_kaf.getLanguage()
if lang != 'nl':
print >> sys.stdout, 'ERROR! Language is ', lang, ' and must be nl (Dutch)'
sys.exit(-1)
logging.debug('Extracting sentences from the KAF')
sentences = []
current_sent = []
term_ids = []
current_sent_tid = []
lemma_for_termid = {}
termid_for_token = {}
logging.getLogger().setLevel(logging.ERROR)
numNegators = 0
## READ the data and create structure for terms
if not sys.stdin.isatty():
## READING FROM A PIPE
logging.debug('Reading from standard input')
fic = sys.stdin
else:
print >> sys.stderr, 'Input stream required.'
print >> sys.stderr, 'Example usage: cat myUTF8file.kaf.xml |', sys.argv[
0]
print >> sys.stderr, sys.argv[0] + ' -h for help'
sys.exit(-1)
kafParserObj = KafParser(fic)
for term in kafParserObj.getTerms():
terms.append(term)
logging.debug('Number of terms loaded ' + str(len(terms)))
## Load lexicons
lang = kafParserObj.getLanguage()
##lexSent = LexiconSent(lang,'general')
lexSent = LexiconSent(lang, arguments.lexicon,
arguments.lexicon_path) ##Default lexicons
################
## For each term, establish its sentiment polarity
opinion_type.append(op_type_span)
opinion.append(opinion_type)
return opinion
if __name__ == '__main__':
my_time_stamp = True
try:
opts, args = getopt.getopt(sys.argv[1:], "", ["no-time"])
for opt, arg in opts:
if opt == "--no-time":
my_time_stamp = False
except getopt.GetoptError:
pass
kafObj = KafParser(sys.stdin)
data_str = kafObj.getSentimentTriples()
data = convertPolarityToFloats(data_str)
my_data_neg = applyNegators(data)
my_data_neg_int = applyIntensifiers(my_data_neg)
total = computeTotal(my_data_neg_int)
opinionObj = createOpinion(kafObj, total)
kafObj.addLayer('opinions', opinionObj)
kafObj.addLinguisticProcessor('RuleBasedSentimentAnalyzer',
'1.0',
'opinion',
time_stamp=my_time_stamp)
kafObj.saveToFile(sys.stdout)
numNegators = 0
## READ the data and create structure for terms
if not sys.stdin.isatty():
## READING FROM A PIPE
logging.debug('Reading from standard input')
fic = sys.stdin
else:
print>>sys.stderr,'Input stream required.'
print>>sys.stderr,'Example usage: cat myUTF8file.kaf.xml |',sys.argv[0]
print>>sys.stderr,sys.argv[0]+' -h for help'
sys.exit(-1)
kafParserObj = KafParser(fic)
for term in kafParserObj.getTerms():
terms.append(term)
logging.debug('Number of terms loaded '+str(len(terms)))
## Load lexicons
lang = kafParserObj.getLanguage()
##lexSent = LexiconSent(lang,'general')
lexSent = LexiconSent(lang,arguments.lexicon,arguments.lexicon_path) ##Default lexicons
################
