def analyse_entry(self, entry, params):
lang = params["language"]
res = requests.post(
ENDPOINT,
json.dumps({
"language": lang,
"data": [{
"text": entry['nif:isString']
}]
}))
p = params.get("prefix", None)
polarity_value = self.maxPolarityValue * int(
res.json()["data"][0]["polarity"]) * 0.25
polarity = "marl:Neutral"
neutral_value = self.maxPolarityValue / 2.0
if polarity_value > neutral_value:
polarity = "marl:Positive"
elif polarity_value < neutral_value:
polarity = "marl:Negative"
sentiment = Sentiment(prefix=p,
marl__hasPolarity=polarity,
marl__polarityValue=polarity_value)
sentiment.prov__wasGeneratedBy = self.id
entry.sentiments.append(sentiment)
entry.language = lang
yield entry
def analyse(self, **params):
lang = params.get("language", "auto")
res = requests.post(
"http://www.sentiment140.com/api/bulkClassifyJson",
json.dumps({
"language": lang,
"data": [{
"text": params["input"]
}]
}))
p = params.get("prefix", None)
response = Results(prefix=p)
polarity_value = self.maxPolarityValue * int(
res.json()["data"][0]["polarity"]) * 0.25
polarity = "marl:Neutral"
neutral_value = self.maxPolarityValue / 2.0
if polarity_value > neutral_value:
polarity = "marl:Positive"
elif polarity_value < neutral_value:
polarity = "marl:Negative"
entry = Entry(id="Entry0", nif__isString=params["input"])
sentiment = Sentiment(id="Sentiment0",
prefix=p,
marl__hasPolarity=polarity,
marl__polarityValue=polarity_value)
sentiment.prov__wasGeneratedBy = self.id
entry.sentiments = []
entry.sentiments.append(sentiment)
entry.language = lang
response.entries.append(entry)
return response
def analyse(self, **params):
lang = params.get("language", "auto")
res = requests.post("http://www.sentiment140.com/api/bulkClassifyJson",
json.dumps({"language": lang,
"data": [{"text": params["input"]}]
}
)
)
p = params.get("prefix", None)
response = Results(prefix=p)
polarity_value = self.maxPolarityValue*int(res.json()["data"][0]
["polarity"]) * 0.25
polarity = "marl:Neutral"
neutral_value = self.maxPolarityValue / 2.0
if polarity_value > neutral_value:
polarity = "marl:Positive"
elif polarity_value < neutral_value:
polarity = "marl:Negative"
entry = Entry(id="Entry0",
nif__isString=params["input"])
sentiment = Sentiment(id="Sentiment0",
prefix=p,
marl__hasPolarity=polarity,
marl__polarityValue=polarity_value)
sentiment.prov__wasGeneratedBy = self.id
entry.sentiments = []
entry.sentiments.append(sentiment)
entry.language = lang
response.entries.append(entry)
return response
def analyse_entry(self, entry, params):
lang = params.get("language", "auto")
res = requests.post("http://www.sentiment140.com/api/bulkClassifyJson",
json.dumps({
"language": lang,
"data": [{
"text": entry.text
}]
}))
p = params.get("prefix", None)
polarity_value = self.maxPolarityValue * int(
res.json()["data"][0]["polarity"]) * 0.25
polarity = "marl:Neutral"
neutral_value = self.maxPolarityValue / 2.0
if polarity_value > neutral_value:
polarity = "marl:Positive"
elif polarity_value < neutral_value:
polarity = "marl:Negative"
sentiment = Sentiment(
prefix=p,
marl__hasPolarity=polarity,
marl__polarityValue=polarity_value)
sentiment.prov__wasGeneratedBy = self.id
entry.sentiments = []
entry.sentiments.append(sentiment)
entry.language = lang
yield entry
def analyse_entry(self, entry, params):
lang = params.get("language", "auto")
res = requests.post(
"http://www.sentiment140.com/api/bulkClassifyJson",
json.dumps({
"language": lang,
"data": [{
"text": entry.text
}]
}))
p = params.get("prefix", None)
polarity_value = self.maxPolarityValue * int(
res.json()["data"][0]["polarity"]) * 0.25
polarity = "marl:Neutral"
neutral_value = self.maxPolarityValue / 2.0
if polarity_value > neutral_value:
polarity = "marl:Positive"
elif polarity_value < neutral_value:
polarity = "marl:Negative"
sentiment = Sentiment(prefix=p,
marl__hasPolarity=polarity,
marl__polarityValue=polarity_value)
sentiment.prov__wasGeneratedBy = self.id
entry.sentiments = []
entry.sentiments.append(sentiment)
entry.language = lang
yield entry
def test_sentiment(self):
s = Sentiment()
self.assertRaises(jsonschema.ValidationError, s.validate)
s.nif__anchorOf = "so much testing"
s.prov__wasGeneratedBy = ""
s.validate()
def test_sentiment(self):
s = Sentiment()
self.assertRaises(jsonschema.ValidationError, s.validate)
s.nif__anchorOf = "so much testing"
s.prov__wasGeneratedBy = ""
s.validate()
