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18 lines
1.4 KiB
18 lines
1.4 KiB
# Try anoda dataset
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## Instructions
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Since you don sabi how to use NLTK to check sentiment for text, try use anoda dataset. You go need do some data processing for am, so make notebook wey go show wetin you dey think as you dey work. Wetin you find out?
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## Rubric
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| Criteria | Exemplary | Adequate | Needs Improvement |
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| -------- | ----------------------------------------------------------------------------------------------------------------- | ----------------------------------------- | ---------------------- |
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| | Complete notebook and dataset dey show with beta explanation for cells wey dey show how sentiment take dey assign | Notebook no get beta explanation | Notebook get wahala |
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---
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<!-- CO-OP TRANSLATOR DISCLAIMER START -->
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**Disclaimer**:
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Dis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) take translate am. Even though we dey try make e accurate, abeg sabi say automated translations fit get mistake or no dey 100% correct. Di original dokyument for di native language na di main correct source. For important information, e better make una use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.
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<!-- CO-OP TRANSLATOR DISCLAIMER END --> |