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You want to create a project that enables you to label the sentiment in a given Tweet post as “Positive” Positive, “Negative” Negative, “Neutral” Neutral, or “Not Not Sure.”
To create this project, you must perform the following tasks:
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Identify the sentiment type in a given Tweet as “Positive” Positive, “Negative” Negative, or “Neutral Neutral.”
In the cases where the sentiment cannot be determined by you, mark it as “Not Not Sure.”
Sample Input Data
You select sample tweets that you wish to annotate. You paste the text of the tweets into a Microsoft Excel sheet under a column labeled Tweet. You save the Microsoft Excel sheet as Tweet_Tagging_Input.xlsx.
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You can follow the steps listed above to create your Microsoft Excel sheet; you can also download and use this file Sheet or download this file, unzip it, and use it in your project: Tweet_tagging_input.xlsx.
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Configuring Project Metadata
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7. You can skip all other fields here. Click Add.
Taskmonk adds the new execution level, closes the modal, and displays the updated Quality Workflow. Repeat the process to add all required execution levels.
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8. Click Next to update User counts and Majority vote.
a. 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.
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Go to the Projects page and click Reports > View for the Twitter Post Analysis project. The Reports page appears.
Click Dataset Progress Reports to view the batch status report. This shows the total number of tasks pending and completed at each level for all batches. The Disagreement score indicates the total number of tasks without a majority at level 1. In other words, the total tasks which moved to level 2.
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Downloadable Sample Files
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