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We are building a training set for a sentiment analyzer.
We have 1600 twitter status messages (in English) to be classified as positive / negative / neutral / promotional.
We will provide a short document that describes our classification criteria, along with a spreadsheet that contains 100 example tweets with classifications. You must read through both documents and follow the guidelines and examples in choosing classifications for the tweets to be rated. We will share a copy of the Google spreadsheets that contain the tweets to be rated. The classifications should be entered into these documents.
You must understand written English at the competency level of a native speaker. A familiarity with social media content and Internet language usage is desirable.
The quality of the work you do is very important to us. Because the task can be somewhat repetitive, it's necessary to take a break from time to time to stay fresh and bring careful thought to each label. We ask that you tak...
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