-
Notifications
You must be signed in to change notification settings - Fork 1
/
analyze.py
121 lines (95 loc) · 3.43 KB
/
analyze.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
# -*- 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 aztext [<sentence>]
#
# https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/
# quickstarts/python-sdk
#
# ----------------------------------------------------------------------
# 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: sentence
# ----------------------------------------------------------------------
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
print(f"{dl.score},{lang},", end="")
documents = [{'id': '1', 'language': lang, 'text': txt}]
response = client.sentiment(documents=documents)
sep = ""
for s in response.documents:
print(f"{sep}{s.score:0.2f}", end="")
sep = ":"
print(",", end="")
response = client.key_phrases(documents=documents)
sep = ""
for kp in response.documents:
for p in kp.key_phrases:
print(f"{sep}{p}", end="")
sep = ":"
print(",", end="")
response = client.entities(documents=documents)
for es in response.documents:
sep = ""
for e in es.entities:
print(f"{sep}{e.type}={e.name}", end="") # e['wikipediaUrl']
sep = ":"
print("")
# ------------------------------------------------------------------------
# Analyse sentence obtained from command line, pipe, or interactively.
# ------------------------------------------------------------------------
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" + \
"(Output: conf,lang,sentiment,phrases,entities)\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)