Add TextAnalytics

README.md

@@ -9,6 +9,7 @@ This project framework provides examples for the following services:
 ### Language
 
 * Using the **Bing Spell Check SDK** [azure-cognititiveservices-language-spellcheck](http://pypi.python.org/pypi/azure-cognititiveservices-language-spellcheck) for the [Bing Spell Check API](https://azure.microsoft.com/services/cognitive-services/spell-check/)
+* Using the **Text Analytics SDK** [azure-cognititiveservices-language-textanalytics](http://pypi.python.org/pypi/azure-cognititiveservices-language-textanalytics) for the [Tet Analytics API](https://azure.microsoft.com/services/cognitive-services/text-analytics/)
 
 ### Search
 
@@ -63,6 +64,7 @@ We provide several meta-packages to help you install several packages at a time.
     ```
 
 4.  Set up the environment variable `SPELLCHECK_SUBSCRIPTION_KEY` with your key if you want to execute SpellCheck tests.
+4.  Set up the environment variable `TEXTANALYTICS_SUBSCRIPTION_KEY` with your key if you want to execute SpellCheck tests. You might override too `TEXTANALYTICS_LOCATION` (westcentralus by default).
 3.  Set up the environment variable `CUSTOMSEARCH_SUBSCRIPTION_KEY` with your key if you want to execute CustomSearch tests.
 3.  Set up the environment variable `ENTITYSEARCH_SUBSCRIPTION_KEY` with your key if you want to execute EntitySearch tests.
 4.  Set up the environment variable `IMAGESEARCH_SUBSCRIPTION_KEY` with your key if you want to execute ImageSearch tests.
@@ -78,7 +80,7 @@ To run the complete demo, execute `python example.py`
 
 To run each individual demo, point directly to the file. For example (i.e. not complete list):
 
-2. `python samples/language/spellchack_samples.py`
+2. `python samples/language/spellcheck_samples.py`
 1. `python samples/search/entity_search_samples.py`
 2. `python samples/search/video_search_samples.py`
 

requirements.txt

@@ -1,4 +1,5 @@
 azure-cognitiveservices-language-spellcheck
+azure-cognitiveservices-language-textanalytics
 azure-cognitiveservices-search-customsearch
 azure-cognitiveservices-search-entitysearch
 azure-cognitiveservices-search-imagesearch

samples/language/text_analytics_samples.py

@@ -0,0 +1,125 @@
+import os
+
+from azure.cognitiveservices.language.textanalytics import TextAnalyticsAPI
+from msrest.authentication import CognitiveServicesCredentials
+
+SUBSCRIPTION_KEY_ENV_NAME = "TEXTANALYTICS_SUBSCRIPTION_KEY"
+TEXTANALYTICS_LOCATION = os.environ.get("TEXTANALYTICS_LOCATION", "westcentralus")
+
+def language_extraction(subscription_key):
+    """Language extraction.
+
+    This will detect the language of a few strings.
+    """
+    client = TextAnalyticsAPI(TEXTANALYTICS_LOCATION, CognitiveServicesCredentials(subscription_key))
+
+    try:
+        documents = [{
+            'id': 1,
+            'text': 'This is a document written in English.'
+        }, {
+            'id': 2,
+            'text': 'Este es un document escrito en Español.'
+        }, {
+            'id': 3,
+            'text': '这是一个用中文写的文件'
+        }]
+        for document in documents:
+            print("Asking language detection on '{}' (id: {})".format(document['text'], document['id']))
+        response = client.detect_language(
+            documents=documents
+        )
+
+        for document in response.documents:
+            print("Found out that {} is {}".format(document.id, document.detected_languages[0].name))
+
+    except Exception as err:
+        print("Encountered exception. {}".format(err))
+
+def key_phrases(subscription_key):
+    """Key-phrases.
+
+    The API returns a list of strings denoting the key talking points in the input text.
+    """
+    client = TextAnalyticsAPI(TEXTANALYTICS_LOCATION, CognitiveServicesCredentials(subscription_key))
+
+    try:
+        documents = [{
+            'language': 'ja',
+            'id': 1,
+            'text': "猫は幸せ"
+        }, {
+            'language': 'de',
+            'id': 2,
+            'text': "Fahrt nach Stuttgart und dann zum Hotel zu Fu."
+        }, {
+            'language': 'en',
+            'id': 3,
+            'text': "My cat is stiff as a rock."
+        }, {
+            'language': 'es',
+            'id': 4,
+            'text': "A mi me encanta el fútbol!"
+        }]
+
+        for document in documents:
+            print("Asking key-phrases on '{}' (id: {})".format(document['text'], document['id']))
+
+        response = client.key_phrases(
+            documents=documents
+        )
+
+        for document in response.documents:
+            print("Found out that in document {}, key-phrases are:".format(document.id))
+            for phrase in document.key_phrases:
+                print("- {}".format(phrase))
+
+    except Exception as err:
+        print("Encountered exception. {}".format(err))
+
+
+def sentiment(subscription_key):
+    """Sentiment.
+
+    Scores close to 1 indicate positive sentiment, while scores close to 0 indicate negative sentiment.
+    """
+    client = TextAnalyticsAPI(TEXTANALYTICS_LOCATION, CognitiveServicesCredentials(subscription_key))
+
+    try:
+        documents = [{
+            'language': 'en',
+            'id': 0,
+            'text': "I had the best day of my life."
+        }, {
+            'language': 'en',
+            'id': 1,
+            'text': "This was a waste of my time. The speaker put me to sleep."
+        }, {
+            'language': 'es',
+            'id': 2,
+            'text': "No tengo dinero ni nada que dar..."
+        }, {
+            'language': 'it',
+            'id': 3,
+            'text': "L'hotel veneziano era meraviglioso. È un bellissimo pezzo di architettura."
+        }]
+
+        for document in documents:
+            print("Asking sentiment on '{}' (id: {})".format(document['text'], document['id']))
+
+        response = client.sentiment(
+            documents=documents
+        )
+
+        for document in response.documents:
+            print("Found out that in document {}, sentimet score is {}:".format(document.id, document.score))
+
+    except Exception as err:
+        print("Encountered exception. {}".format(err))
+
+
+if __name__ == "__main__":
+    import sys, os.path
+    sys.path.append(os.path.abspath(os.path.join(__file__, "..", "..")))    
+    from tools import execute_samples
+    execute_samples(globals(), SUBSCRIPTION_KEY_ENV_NAME)