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11 lines
989 B
11 lines
989 B
4 years ago
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# Poetic license
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## Instructions
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In [this notebook](https://www.kaggle.com/jenlooper/emily-dickinson-word-frequency) you can find over 500 Emily Dickinson poems previously analyzed for sentiment using Azure text analytics. Using this dataset, analyze it using the techniques described in the lesson. Does the suggested sentiment of a poem match the more sophistic Azure service's decision? Why or why not, in your opinion? Does anything surprise you?
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## Rubric
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| Criteria | Exemplary | Adequate | Needs Improvement |
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| -------- | -------------------------------------------------------------------------- | ------------------------------------------------------- | ------------------------ |
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| | A notebook is presented with a solid analysis of an author's sample output | The notebook is incomplete or does not perform analysis | No notebook is presented |
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