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Text Analytics SDK Documentation

by MAQ Software

Privacy Policy

Prerequisites

Requires Python 3.6 or above

Installation

$ pip install MAQTextSDK

Getting Started with SDK

1. Register for the SDK

You need an O365 Account to register.

• Click here to register using the Free Trial button in the Developer Zone pane.
• Save the API Endpoint and API Key you receive while registering on the Developer Zone pane.

2. Install the SDK

$ pip install MAQTextSDK

3. Using the SDK for Sentiment Analysis (Refer to Demo here)

• Load the Corpus you plan to use in a List format, as shown in the following code snippet:

$ corpus = ['I love working on ML stuff.'
          ,'I hate working on stuff that is boring and repetitive.'
          ,'I love working from home during COVID-19.']

• Use the API Key and API Endpoint you received while registering on the Developer Zone pane, as shown in the following code snippet:

$ APIKey = "Your_API_Key"
$ APIEndpoint = "Your_API_Endpoint"

• Import the SDK and pass the Corpus along with the API Endpoint and API Key, as shown in the following code snippet:

$ import  MAQTextSDK.maq_text_analytics_linux as SentimentSDK
$ sentimentClient = SentimentSDK.MAQTextAnalyticsLinux(base_url = APIEndpoint)

$ response = sentimentClient.post_sentimentclassifier(api_key = APIKey, data_input = corpus)

$ for document in response:
    print("Document:")
    print(document['text'])
    print("Sentiment:")
    print(document['sentiment'])
    print()

4. Using the SDK for Key Phrase Extraction (Refer to Demo here)

• Load the Corpus you plan to use in a Dict format, as shown in the following code snippet:

$ #Load Text
keyphrase_input = dict()

#Set Text
keyphrase_input["text"] = "Does social capital determine innovation ? To what extent? This paper deals with two questions: Does social capital determine innovation in manufacturing firms?"

#Top Number Of Keyphrases
keyphrase_input["keyphrases_count"] = 10

#More Score, more different/diverse keyphrases are generated
#Less Score, more duplicate keyphrases are generated
#Value of Diversity Threshold can be between 0 and 1
keyphrase_input["diversity_threshold"] = 0.52

#Similarity threshold for Alias/Similar Keyphrase with Top Key Phrase [Similar Column in Output]
#More The Value, More accurate keyphrases are found with top key-phrase [Similar Column in Output]
#Value of Alias Threshold can be between 0 and 1
keyphrase_input["alias_threshold"] = 0.65

• Use the API Key and API Endpoint you received while registering on the Developer Zone pane, as shown in the following code snippet:

$ APIKey = "Your_API_Key"
$ APIEndpoint = "Your_API_Endpoint"

• Import the SDK and pass the Corpus along with the API Endpoint and API Key, as shown in the following code snippet:

$ import  MAQTextSDK.maq_text_analytics_linux as TextSDK
$ textClient = TextSDK.MAQTextAnalyticsLinux(base_url = APIEndpoint)
$ response = textClient.post_keyphrase_extractor(api_key = APIKey, data_input = keyphrase_input)

$ response_df = pd.DataFrame(response, columns = ['KeyPhrase','Score','Similar'])

#KeyPhrase	Score	Similar
#0 structural social capital	1.000000	[cognitive social capital]
#1 innovation	0.754714	[advancement]
#2 research network assets	0.586890	[information network assets, business network ...
#3 participation assets	0.575738	[]
#4 reciprocal trust	0.564874	[]
#5 explanatory variable	0.390424	[traditional explanatory variables]
#6 empirical investigations	0.355306	[study]
#7 many different forms	0.264404	[other forms]
#8 dominating view	0.207086	[]
#9 paper	0.121013	[]

5. Using the SDK for PII Scrubber (Refer to Demo here)

Note: PII Scrubber is powered by presidio

• Load the Corpus you plan to use in a Dict format, as shown in the following code snippet:

$ #Load Text into dict
pii_input = dict()
pii_input["data"] = "Parker Doe has repaid all of their loans as of 2020-04-25. Their SSN is 859-98-0987. To contact them, use their phone number 555-555-5555. They are originally from Brazil"

#Set the list of entities to be removed
pii_input["entity_list"] = ["PERSON", "US_SSN", "PHONE_NUMBER"]

List of Supported Entities:

Entity Name	Action
PERSON	A full person name, which can include first names, middle names or initials, and last names.
CREDIT_CARD	A credit card number is between 12 to 19 digits. https://en.wikipedia.org/wiki/Payment_card_number
DATE_TIME	Absolute or relative dates or periods or times smaller than a day.
DOMAIN_NAME	A domain name as defined by the DNS standard.
EMAIL_ADDRESS	An email address identifies an email box to which email messages are delivered
IBAN_CODE	The International Bank Account Number (IBAN) is an internationally agreed system of identifying bank accounts across national borders to facilitate the communication and processing of cross border transactions with a reduced risk of transcription errors.
IP_ADDRESS	An Internet Protocol (IP) address (either IPv4 or IPv6).
LOCATION	Name of politically or geographically defined location (cities, provinces, countries, international regions, bodies of water, mountains
PHONE_NUMBER	A telephone number
US_BANK_NUMBER	A US bank account number is between 8 to 17 digits.
US_DRIVER_LICENSE	A US driver license according to https://ntsi.com/drivers-license-format/
US_PASSPORT	A US passport number with 9 digits.
US_SSN	A US Social Security Number (SSN) with 9 digits.

• Use the API Key and API Endpoint you received while registering on the Developer Zone pane, as shown in the following code snippet:

$ APIKey = "Your_API_Key"
$ APIEndpoint = "Your_API_Endpoint"

• Import the SDK and pass the Corpus along with the API Endpoint and API Key, as shown in the following code snippet:

$ import  MAQTextSDK.maq_text_analytics_linux as TextSDK
$ textClient = TextSDK.MAQTextAnalyticsLinux(base_url = APIEndpoint)
$ response = textClient.post_piiscrubber(api_key = APIKey, data_input = pii_input.copy())
$ print("Original Text: ", pii_input['data'])
  print("After PII Scrubbing: ", response['scrubbed_text'])
#Original Text:  Parker Doe has repaid all of their loans as of 2020-04-25. Their SSN is 859-98-0987. To contact them, use their phone number #555-555-5555. They are originally from Brazil
#After PII Scrubbing:  <PERSON> has repaid all of their loans as of 2020-04-25. Their SSN is <US_SSN>. To contact them, use their phone number #<PHONE_NUMBER>. They are originally from Brazil

Using the Requests Package

• Load the Corpus you plan to use in a Json format, as shown in the following code snippet:

$ corpus = {"data": [
    {"id": "1", "text": "I love working on ML stuff."},
    {"id": "2", "text": "I hate working on stuff that is boring and repetitive."},
    {"id": "3", "text": "I love working from home in COVID-19."}
]}

• Input the API Key and API Endpoint that you received when you registered on the Text Analytics Platform, as shown in the following code snippet:

$ APIKey = "Your_API_Key"
$ APIEndpoint = "Your_API_Endpoint"
$ headers = {"APIKey": APIKey}

• Import the Requests library and pass the Corpus, API Endpoint, and Headers into the Json parameter, as shown in the following code snippet:

$ import requests

$ response = requests.post(APIEndpoint + "/SentimentClassifier", headers = headers, json = corpus)
$ sentiment = response.json()

• Import the Requests library and pass the Corpus, API Endpoint, and Headers into the Json parameter, as shown in the following code snippet for Key Phrase Extraction:

$ import requests

$ response = requests.post(APIEndpoint + "/KeyPhrase", headers = headers, json = keyphrase_input)
$ response_df = pd.DataFrame(response.json(), columns = ['KeyPhrase','Score','Similar'])

Use NLP capabilities in Power BI

1. Prerequisites

1. API Endpoint and API Key from step 1 in Getting Started with SDK
2. Load data with text-based column in Power BI desktop

2. Create a parameter

1. Go to Power Query editor by right clicking on any table in your Power BI report and selecting Edit query

2. Select the New Parameter option from the dropdown menu of Manage Parameters in the Home tab

3. Name the parameter as API Key

4. Check the required option to make the API Key a required parameters

5. Select Text in Type dropdown

6. Enter your API Key in the Current Value text-box and click on OK

   

3. Define Custom Function

In Power BI Desktop, make sure you're still in the Query Editor window. If you aren't, select the Home ribbon, and in the External data group, click Edit Queries.

Now, in the Home ribbon, in the New Query group, open the New Source drop-down menu and select Blank Query.

A new query, initially named Query1, appears in the Queries list. Double-click this entry and name it AnalyzeSentiment.

Now, in the Home ribbon, in the Query group, click Advanced Editor to open the Advanced Editor window. Delete the code that's already in that window and paste in the following code. Similarly, define custom functions for the other set of APIs.

1. Analyze Sentiment

   // Returns sentiment score of the input text
   (endpoint as text, text as text) as number => let
   
      // Use first 5000 characters from the input text
      jsonText = Text.FromBinary(Json.FromValue(Text.Start(Text.Trim(text), 5000))),
      
      // Build JSON body as required by the endpoint
      jsonBody = "{ ""data"": [ { ""id"": ""0"", ""text"": " & jsonText & " } ] }",
      
      // Convert JSON body to binary content
      bytesBody = Text.ToBinary(jsonBody),
      
      // Create request header using API Key
      headers = [#"APIKey" = #"API Key"],
   
      // Invoke REST API using endpoint, header and conte
      bytesResponse = Web.Contents(endpoint, [Headers=headers, Content=bytesBody]),
      
      // Convert to JSON response
      jsonResponse = Json.Document(bytesResponse),
   
      // Store sentiment score from the JSON response
      sentimentScore = jsonResponse{0}[sentiment]
   
   in sentimentScore

2. Extract Key Phrase

   // Returns key phrases from the text in a comma-separated list
   (endpoint as text, text as text, keyphraseCount as number, diversityThreshold as number, aliasThreshold as number) as text => let
      
      // Use first 5000 characters from the input text
      jsonText = Text.FromBinary(Json.FromValue(Text.Start(Text.Trim(text), 5000))),
      
      // Build JSON body as required by the endpoint
      jsonBody = "{ ""text"": " & jsonText & ", ""keyphrases_count"": " & Number.ToText(keyphraseCount) & ", ""diversity_threshold"": " & Number.ToText(diversityThreshold) & ", ""alias_threshold"": " & Number.ToText(aliasThreshold) & "}",
      
      // Convert JSON body to binary content
      bytesBody = Text.ToBinary(jsonBody),
      
      // Create request header using API Key
      headers = [#"APIKey" = #"API Key"],
   
      // Invoke REST API using endpoint, header and conte
      bytesResponse = Web.Contents(endpoint, [Headers=headers, Content=bytesBody]),
      
      // Convert to JSON response
      jsonResponse = Json.Document(bytesResponse),
      
      // Extract KeyPhrase from array of documents and create a list of Key Phrases
      keyphraseList = List.Transform(jsonResponse, each _[KeyPhrase]),
      
      // Store KeyPhrase as comma separated text
      keyphrases = Text.Combine(keyphraseList, ", ")
      
   in keyphrases

3. Scrub PII Data

   // Scrubs PII data from the input text
   (endpoint as text, text as text, entityList as text) as text => let
   
      // Use first 5000 characters from the input text
      jsonText = Text.FromBinary(Json.FromValue(Text.Start(Text.Trim(text), 5000))),
      
      // Build JSON body as required by the endpoint
      jsonBody = "{ ""data"": " & jsonText & ", ""entity_list"": """ & entityList & """}",
      
      // Convert JSON body to binary content
      bytesBody = Text.ToBinary(jsonBody),
      
      // Create request header using API Key
      headers = [#"APIKey" = #"API Key"],
      
      // Invoke REST API using endpoint, header and conte
      bytesResponse = Web.Contents(endpoint, [Headers=headers, Content=bytesBody]),
      
      // Convert to JSON response
      jsonResponse = Json.Document(bytesResponse),
      
      // Store scrubbed text from the JSON response
      scrubbedText = jsonResponse[scrubbed_text]
      
   in scrubbedText

3. Use the custom function

Now you can use the custom function to analyze sentiment, extract key phrase and scrub PII data from your text data and store them in a new column in the table.

In Power BI Desktop, in the Query Editor window, switch back to the query which consists your text data. Select the Add Column ribbon. In the General group, click Invoke Custom Function. The Invoke Custom Function dialog appears.

1. Analyze Sentiment
   In New column name, enter Sentiment Score. In Function query, select the custom function you created, AnalyzeSentiment.

   A new field appears in the dialog, endpoint. Select the dropdown below endpoint header and select Text. Enter the endpoint URL in the field next to dropdown. The text field is asking which column we want to use to provide values for the text parameter of the Sentiment Analysis API. Select the column which consists of text data from the drop-down menu.
   

2. Extract Key Phrase In New column name, enter Key Phrases. In Function query, select the custom function you created, ExtractKeyPhrase.

   A new field appears in the dialog, endpoint. Select the dropdown below endpoint header and select Text. Enter the endpoint URL in the field next to dropdown. The text field is asking which column we want to use to provide values for the text parameter of the Key Phrase Extraction API. Select the column which consists of text data from the drop-down menu. Enter the following values:

   • keyphraseCount: Count of Key Phrases to return
   • diversityThreshold: Value of Diversity Threshold can be between 0 and 1. More the score, more different/diverse the keyphrases are. Less the score, more duplicate the keyphrases are
   • aliasThreshold: Value of Alias Threshold can be between 0 and 1. Similarity threshold for Alias/Similar Keyphrase with Top Key Phrase [Similar Column in Output]. More the value, more accurate the keyphrases are in top key-phrase [Similar Column in Output]
     

3. Scrub PII Data In New column name, enter Scrubbed Data. In Function query, select the custom function you created, ScrubPIIData.

   A new field appears in the dialog, endpoint. Select the dropdown below endpoint header and select Text. Enter the endpoint URL in the field next to dropdown. The text field is asking which column we want to use to provide values for the text parameter of the Scrub PII Data API. Select the column which consists of text data from the drop-down menu. Enter the following:

   • entityList: Comma separated list of entities (Refer to List of Supported Entities section above)
     

4. Authentication and privacy

After you close the Invoke Custom Function dialog, a banner may appear asking you to specify how to connect to the API. Click Edit Credentials, make sure Anonymous is selected in the dialog, then click Connect. If you see the Edit Credentials banner even after choosing anonymous access, you may have forgotten to paste your API Key while creating parameter. Next, a banner may appear asking you to provide information about your data sources privacy. Click Continue and choose Public for each of the data sources in the dialog. Then click Save.

Limit Tracking in API

In the free trial subscription, the API Key has a default quota of 500 batch calls. In a single batch call for Sentiment Analysis, you can send maximum 25 documents. Each batch call, irrespective of the how many documents it processes, counts as a single call. For Key Phrase Extraction and PII Scrubber each batch call can send maximum 1 document.

Build the SDK

To build the SDK from scratch. Please use MAQTextAnalyticsLinux.swagger.json file and build it using autorest. To build the SDK package please run the following code snippet:

$ git clone https://github.com/maqsoftware/MAQTextAnalyticsSDK.git
$ npm install -g autorest
$ autorest --input-file="MAQTextAnalyticsSDK/MAQTextAnalyticsLinux.swagger.json" --python --output-folder="TextAnalyticsSDK"

FAQs

1. What happens when my API Key expires? You can re-register for a free trial subscription by clicking here. For more information, you can connect with us at support@maqsoftware.com.

2. What happens when my API Limit is exhausted? You will get an API Limit exceeded error when you try to use the SDK. You can visit the Developer Zone pane and generate a new API Key. For a premium service, you can connect with us at support@maqsoftware.com

3. Why I am getting batch size error? You can send maximum 25 documents in a single batch call for Sentiment Analysis. For Key Phrase Extraction and PII Scrubber, maximum one document can be sent in single batch call. Check that you are not trying to send more.