Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

  1. To create the project, click the Create Project floating button to the left side of the Projects page. The Project Metadata tab associated with your new project appears.

  2. Enter Twitter Post Analysis as the Project Name, Sentiment Identification as the Process Name, and Text Labeling as the Process.

  3. Image RemovedImage Added

    Select Text-Based for Project Type.

...

  1. Either click the BROWSE INPUT FILE button to extract field names from the sample input file you’ve downloaded in the previous step, or

  2. Click the CREATE INPUT FIELD button to create the input fields explicitly.

  3. In this example, we’ve created two input fields, Sentence #and Word. Set Field Type to text, Mandatory to True, and Operational to True for both these fields.

    Image Removed

...

Creating and Configuring the Output Fields

...

  1. Click the CREATE OUTPUT FIELD button.

    Image Removed

Image Added

2. In the Create Output Field modal window, set the values for the following:

  • Name: Provide the output field name.

  • (Optional) Visible Name: The name that appears in the output file.

  • Set Data Type: Select from the listed options how the output field options will appear. In this case, select DropDown.

    Image RemovedImage Added

  • Possible Values: Type in comma-separated values that this output field can take. These values will be listed for selection in the dropdown list.

...

  1. Here, we will opt for the Majority Vote workflow. To select this option, click the Execution Method field and select Majority Vote from the drop-down list.

  2. By default, Taskmonk creates the Analyst role for you. You can either delete this role name and click the Add Execution Level icon, or retain this role name, and edit it by clicking the Update Execution Level icon.

  3. In the Add Execution Level modal window, add the field values shown in the image below:

    Image Removed

...

4. Enter Twitter Sentiment Labeler1 as the Execution Level Name. By default, Level 1 is assigned to labelers where Skip Task can be Enabled or Disabled and Reject Task is Disabled automatically. You can choose to skip these field inputs if required.

5. Click Add.

6. Taskmonk adds the new execution level, and updates the Quality Workflow section.

Repeat the above steps to add Quality Analyst at Level 2 and Twitter Sentiment Project Lead at Level 3.

...

7. Click Next to move to the next step Execution.

...

8. Next, add the User counts, Majority vote, and Consensus Percentage values

...

by follow ing these steps:

  • Set the User counts to 3 if every task has to be allocated to 3 different users. Majority vote 2 indicates that out of 3 users, if at least 2 of them provide the same response, the task completes at level 1. If all 3 users provide different responses, the task moves to level 2.

  • Consensus Percentage: Percentage of total tasks imported that should be allocated to multiple users. The remaining tasks will follow the Maker-Checker or Maker-Editor model.

...

Creating the Process Logic

...

  1. Click the Users tab just above Quality Workflow to view the Manage Users section.

  2. Click the Add button on the top-right.

    Image Removed

...

3. In the Add User window, select the users from the list for various levels (L1, L2, and L3).

...

The minimum number of users in level 1 should be equal to the User counts set in the workflow.

4. Click Add to add the selected users.

...

6. The users get added successfully to the Manage Users page.

...

  1. Click the Datasets tab. The Datasets page appears. Use this page to manage datasets for your project.

    Image RemovedImage Added
  2. Taskmonk organizes datasets into batches to simplify management and tracking. To add a new dataset, click Add Batch on the right side of the page. The Add Batch modal appears.

  3. Enter Batch 1 as the name for the batch that you want to import in the Add New Batch field. You can ignore the other fields.

     

     

  4. Click Submit. This creates a new batch of data for your project and adds it to the Pending tab of the Datasets page.

  5. You can now upload datasets into the batch, as required. To add a dataset to the batch, click the Import button under the Tasks(Import/Export) column. The Import Task modal appears.

...