def score_text(self, text):
"""
Sends text to the server for sentiment scoring
Returns a list of scores (one for each sentence)
"""
service = self._text_service
try:
msg = Message(text)
sentiment_scores = post_json(self._text_service, msg.to_JSON())
return sentiment_scores["scores"]
except Exception as e:
#print(e)
return None
def score_document(self, doc):
"""
Sends a Document to the server for sentiment scoring.
Parameters
----------
doc : processors.ds.Document
The `doc` to be scored
Returns
-------
[int]
A list of int scores (one for each sentence) ranging from 1 (very negative) to 5 (very positive)
"""
try:
sentiment_scores = post_json(self._document_service, doc.to_JSON())
return sentiment_scores["scores"]
except Exception as e:
#print(e)
return None
def score_sentence(self, sentence):
"""
Sends a Sentence to the server for sentiment scoring.
Parameters
----------
sentence : processors.ds.Sentence
The `sentence` to be scored
Returns
-------
int
A single score ranging from 1 (very negative) to 5 (very positive)
"""
try:
sentiment_scores = post_json(self._sentence_service,
sentence.to_JSON())
return sentiment_scores["scores"][0]
except Exception as e:
print(e)
return None
def score_segmented_text(self, sentences):
"""
Sends segmented text to the server for sentiment scoring.
Parameters
----------
sentences : [str]
A list of str representing segmented sentences/chunks to be scored.
Returns
-------
[int]
A list of int scores (one for each sentence/chunk) ranging from 1 (very negative) to 5 (very positive)
"""
try:
msg = SegmentedMessage(sentences)
sentiment_scores = post_json(self._segmented_service,
msg.to_JSON())
return sentiment_scores["scores"]
except Exception as e:
#print(e)
return None
def _annotate_message(self, msg):
annotated_text = post_json(self.service, msg.to_JSON())
return Document.load_from_JSON(annotated_text)
def _message_to_json_dict(self, msg):
return post_json(self.service, msg.to_JSON())
def _chunk(self, obj):
return post_json(self.chunk_address, obj.to_JSON())