Create a Text Classification Multilabel based project

Create a Text Classification Multilabel based project


Multilabel classification assigns different labels to a sample set. This process is similar to predicting properties of data-points that are not mutually exclusive. For example, a body of text about books could contain the authors name, publication location, title of the book, and publishing year. It could also contain none of these.  Skyl allows you to label these texts in multiple categories if necessary.

To create a Text Classification Multilabel  project:

  1. Select ‘Add Project’ on the Welcome page of Skyl.ai


  2. You will be directed to the ‘Select a Machine Learning Template for your Project’ page

  3. To create a text classification multilabel project, select ‘Text Classification Multilabel’ under ‘Natural language Processing’

  4. To learn more about Image Classification MultiLabel projects, select ‘Learn More’


  5. Choose “Select This template” to be directed to the ’Define your Project Name and Outcome’ page. From this page, enter a name and short description of your project

  6. Select ‘Create Project’ to create the project, or ‘Cancel’ to cancel the project

  7. For example: Twitter Sentiment Analysis


  8. Bio-Entity Recognition Task will appear on the Welcome Page of Skyl.




Create a Text Extraction Named-Entity Recognition based project

Create a Text Extraction Named-Entity Recognition based project


Named-Entity Recognition the process through which a computer processes unstructured text data and extracts key words under their respective labels.

For example, (Bio-Entity Recognition Task)

To create a Text Extraction Named-Entity Recognition project:

  1. Select ‘Add Project’ on the Welcome page of Skyl.ai


  2. You will be directed to the ‘Select a Machine Learning Template for your Project’ page

  3. Select ‘Text Extraction Named-Entity Recognition’ under ‘Natural language Processing’ to begin a Text Extraction Named-Entity Recognition project

  4. To learn more about Text Extraction Named-Entity Recognition projects, select ‘Learn More’ underneath the box


  5. Choose “Select This template” to be directed to the ’Define your Project Name and Outcome’ page. From this page, enter a name and short description of your project

  6. Select ‘Create Project’ to create the project, or ‘Cancel’ to cancel the project

  7. For example: Bio-Entity Recognition Task


  8. Bio-Entity Recognition Task will appear on the Welcome Page of Skyl.




Natural Language Processing Overview

Natural Language Processing Overview


Natural language processing (NLP) is the process through which computers read, understand, interpret, and respond to human language.  Any business that has a need to read and interpret text can adopt NLP. In Skyl, a user can create projects that classify text in both multiclass and multilabel cases. Users can extract and identify key words as well as summarize blocks of text using Skyl


Create a Text Classification Multiclass based project

Create a Text Classification Multiclass based project


Multiclassification is the process through which computers classify blocks of unstructured text that contain three or more categories underneath a single category. For example, a set of different new articles may be  about sports, politics, or entertainment. Multiclass classification assumes that each article can be assigned to a single label, so an article can be either a politics or a sports but not both at the same time.

To create a Text Classification Multiclass project:

  1. Select ‘Add Project’ on the Welcome page of Skyl.ai


  2. You will be directed to the ‘Select a Machine Learning Template for your Project’ page

  3. Select ‘Text Classification Multiclass’ under ‘Natural language Processing’ to begin a text classification multiclass project

  4. To learn more about Text Classification Multiclass projects, select ‘Learn More’ underneath the box


  5. Select “Select This Template” to be directed to the ’Define your Project Name and Outcome‘ page where you can enter a name and short description of your project

  6. Select ‘Create Project’ to create the project, or ‘Cancel’ to cancel the project

  7. For example: News Category Classification


  8. News Category Classification will appear on the Welcome Page of Skyl