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Also, add a column labeled Tweet# to number multiple tweets.
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2. Save the Microsoft Excel sheet as Tweet_Tagging_Input.xlsx on your hard drive.
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Set Data Type: Select from the listed options how the output field options will appear. In this case, select Dropdown or radio button option Radio.
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Possible Values: Type in comma-separated values that this output field can take. These values will be listed for radio button selection in the dropdown list.
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3. Select the All Levels check box to indicate that this field must be available to users at all execution levels, such as labeling, quality analysis, and so on.
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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.
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6. Click Choose Files, select the sample input file from your computer and click Import.
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Your project is now ready.!
Log in as Analyst and click the My Tasks icon at the top of the page. The My Tasks page appears.
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2. Click the Get Tasks button adjacent to the Twitter Post Analysis project. The labeling UI associated with this project appears.
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3. You can see the following project details in the labeling UI:
Batch Name (Batch 1) in at the top-left section of the page.
Input fields (Text) on at the top half of the page.
Output/Result fields on at the bottom half of the page.
4. Select the option for Sentiment Type and click Submit & Get Next Task.
5. The input fields details for the next task are displayed. Select the option Sentiment Type, and click Submit Task & Exit.
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For detailed information on working with a typical labeling UI, see Labeling Data.
Viewing Batch Status Report
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Downloadable Sample Files
| Attachments | ||
|---|---|---|
| upload | false | old | false
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