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entities.py
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entities.py
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# -*- coding: utf-8 -*-
#
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
# Author: Graham.Williams@microsoft.com
#
# A command line script to analyze text.
#
# ml analyze entities <sentence>
#
# https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/
# quickstarts/python-sdk
#
# ----------------------------------------------------------------------
# Setup
# ----------------------------------------------------------------------
# Import the required libraries.
import sys
import argparse
from utils import request_priv_info
# pip3 install --upgrade --user azure-cognitiveservices-language-textanalytics
from azure.cognitiveservices.language.textanalytics import TextAnalyticsClient
from msrest.authentication import CognitiveServicesCredentials
# ----------------------------------------------------------------------
# Parse command line arguments
# ----------------------------------------------------------------------
option_parser = argparse.ArgumentParser(add_help=False)
option_parser.add_argument(
'sentence',
nargs="*",
help='sentence to analyse')
args = option_parser.parse_args()
# ----------------------------------------------------------------------
# Request subscription key and endpoint from user.
# ----------------------------------------------------------------------
key, endpoint = request_priv_info()
credentials = CognitiveServicesCredentials(key)
client = TextAnalyticsClient(endpoint=endpoint, credentials=credentials)
# ------------------------------------------------------------------------
# Helper function
# ------------------------------------------------------------------------
def analyseText(txt):
documents = [{'id': '1', 'text': txt}]
response = client.detect_language(documents=documents)
l = response.documents[0]
dl = l.detected_languages[0]
lang = dl.iso6391_name
documents = [{'id': '1', 'language': lang, 'text': txt}]
response = client.entities(documents=documents)
for es in response.documents:
for e in es.entities:
m = e.matches[0]
print(f"{e.name},", end="")
print(f"{e.type},", end="")
if e.sub_type == None:
print(",", end="")
else:
print(f"{e.sub_type},", end="")
if m.entity_type_score != None:
print(f"{m.entity_type_score:0.2f},", end="")
else:
print("0.00,", end="")
print(f"{m.offset},{m.length},", end="")
if m.wikipedia_score == None:
print(",,,")
else:
print(f"{m.wikipedia_score:0.2f},{e.wikipedia_language},{e.wikipedia_id},{e.wikipedia_url}")
# ------------------------------------------------------------------------
# Obtain text and analyze.
# ------------------------------------------------------------------------
txt = " ".join(args.sentence)
if txt != "":
analyseText(txt)
elif not sys.stdin.isatty():
for txt in sys.stdin.readlines():
analyseText(txt)
print()
else:
print("Enter text to be analysed. Quit with Empty or Ctrl-d.\n")
prompt = '> '
try:
txt = input(prompt)
except EOFError:
print()
sys.exit(0)
while txt != '':
analyseText(txt)
try:
print()
txt = input(prompt)
except EOFError:
print()
sys.exit(0)