Communication Mining Capabilities

Help Communications Mining
1

Hello Team,

I have few questions on Communication mining capabilities

  1. Can communication mining be used to train non-entity recognition?
    Eg : customer says I am facing this 404 error in an application, what should I do? The answer to this would be a predefined response with debugging steps .
  2. Can it be trained on unstructured data
    Eg : A frequently asked questions document with Answers?
1 Like
2

@sriharisai.vasi

Welcome to the community

Both are possible…depending on the type of error or message you can do actions sepecific to it

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And second it can read and infer unstructured data

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Business process transformation: Process mining meets communications mining | UiPath.

Hope this helps

Cheers

3

Yes, communication mining can be used to train non-entity recognition. Non-entity recognition is a type of natural language processing (NLP) task that involves identifying and classifying words and phrases in a text that do not refer to named entities.

Communication mining tools can be used to identify and extract non-entity phrases from unstructured data, such as customer emails, chat logs, and social media posts. These phrases can then be used to train a non-entity recognition model.

Example:

A customer says: “I am facing this 404 error in an application, what should I do?”

The communication mining tool can extract the following non-entity phrases from this sentence:

  • 404 error
  • application

These phrases can then be used to train a non-entity recognition model. Once the model is trained, it can be used to identify and classify non-entity phrases in new text data.

Yes, communication mining can be trained on unstructured data. Unstructured data is any data that does not have a predefined format, such as text, images, and audio.

Communication mining tools can be used to extract information from unstructured data, such as the intent of a customer’s email or the topic of a social media post. This information can then be used to train a communication mining model.

Example:

A frequently asked questions (FAQ) document with answers is an example of unstructured data.

The communication mining tool can extract the following information from the FAQ document:

  • Questions
  • Answers

This information can then be used to train a communication mining model. Once the model is trained, it can be used to answer customer questions more accurately and efficiently.

Overall, communication mining is a versatile tool that can be used to improve a variety of business processes, such as customer service, product development, and marketing.

For more video reference

Hope this clarifies

Cheers @sriharisai.vasi