Episode 2 - UiPath AI Fabric Text Classification Model

Jan 9, 2021, 12:30 – 1:30 PM

111
RSVPs

Text classification is the task of assigning a set of predefined categories to open-ended. Let us have a look at how to achieve this without having to code a single line. With UiPath AI Fabric.

About this event

Hi,

Are you interested in Artificial intelligence? Is your interest area Machine Learning and Data Science?

Then this session is must for you to grow your skills on how you can train and use Text Classification Machine Learning models with UiPath.

Text classification (a.k.a. text categorization or text tagging) is the task of assigning a set of predefined categories to open-ended. Text classifiers can be used to organize, structure, and categorize pretty much any kind of text – from documents, medical studies, and files, and all over the web. For example, new articles can be organized by topics; support tickets can be organized by urgency; chat conversations can be organized by language; brand mentions can be organized by sentiment; and so on.

We will not only look at how to use them but also, we will build BOT and talk about possible use cases of each model.

See you in session where we will build a BOT using AI Fabric English Text Classification OOTB Model.


Don't forget to watch our first episode of the series if you have missed.

Episode 1: https://communityevents.uipath.com/e/mpe6pd/


Don't forget to register for upcoming episodes in series:

Episode 3: https://communityevents.uipath.com/e/m5vukx/

Episode 4: https://communityevents.uipath.com/e/mn584y/

Episode 5: https://communityevents.uipath.com/e/mb7krs/

Episode 6: https://communityevents.uipath.com/e/m466a5/

Speaker

  • Nisarg Kadam

    UiPath

    MVP 2024

Host

  • Vibhor Shrivastava

    UiPath

    Director - Global Community Advocacy

Organizers

  • Vibhor Shrivastava

    UiPath

    Regional Community Manager - APAC

  • Parth Doshi

    WonderBotz

    RPA DEVELOPER

  • Rohit Radhakrishnan

    UiPath

    Community Manager - APAC