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Version: 6.0.2

Sentiment Analysis

Sentiment analysis is used to understand the customer's sentiments toward products, movies, and other such things, whether they feel positive, negative, or neutral about it. BERT is a perfect pre-trained language model which helps machines learn excellent representations of text with respect to the context in many natural language tasks.

Data Analysis API​

Data Analysis API is used to understand the customer's sentiments whether they feel positive, negative, or neutral about it.

Make sure your current working directory is cd {Your Directory}/forms-flow-ai/forms-flow-data-analysis-api.

This feature requires the following environment variable:

DATA_ANALYSIS_API_BASE_URL=http://{your-ip-address}:{port}

POST API for Sentiment Analysis​

POST

{{DATA_ANALYSIS_API_BASE_URL}}/sentiment

HEADERS

Authorization Bearer {{token}}

Content-Type application/json

BODY

{
  "applicationId": "{valid applicationId}",
  "formUrl": "{valid formUrl}",
  "data": [{
    "text": "bad service",
    "elementId": ""
  }]
}

RESPONSE

{
  "overallSentiment": "NEGATIVE"
}

Model Description​

This is a fine-tuned downstream version of the bert-base-uncased model for sentiment analysis, this model is not intended for further downstream fine-tuning for any other tasks. This model is trained on a classified dataset for text classification.

How To Use the Sentiment Analysis Component​

One of the unique features of the formsflow.ai framework is Sentiment Analysis. It can analyze the sentiment from forms based on specific topics specified by the designer during form creation.

  • A form designer can drag and drop Text Area with Analytics component and associate it with the corresponding workflow. This activates the Sentiment Analysis component.

Sentiment Analysis

  • Based on the input responses of the user, formsflow.ai processes sentiment associated with each user's responses and the response will be patched to submission data by the Camunda listener. For this it requires the following environment variable:
DATA_ANALYSIS_URL=http://{your-ip-address}:{port}/analysis
  • Sentiment Analysis Flow is the workflow associated with sentiment analysis. You need to add the Java class in listeners as org.camunda.bpm.extension.hooks.delegates.FormTextAnalysisDelegate. Refer to the sample shown below:

Sentiment Analysis

note

Refer here for model creation and training procedures.