You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
ML-For-Beginners/translations/en/6-NLP/5-Hotel-Reviews-2/assignment.md

25 lines
1.6 KiB

This file contains ambiguous Unicode characters!

This file contains ambiguous Unicode characters that may be confused with others in your current locale. If your use case is intentional and legitimate, you can safely ignore this warning. Use the Escape button to highlight these characters.

<!--
CO_OP_TRANSLATOR_METADATA:
{
"original_hash": "daf144daa552da6a7d442aff6f3e77d8",
"translation_date": "2025-09-06T11:03:48+00:00",
"source_file": "6-NLP/5-Hotel-Reviews-2/assignment.md",
"language_code": "en"
}
-->
# Try a different dataset
## Instructions
Now that youve learned how to use NLTK to analyze sentiment in text, experiment with a different dataset. Youll likely need to perform some data preprocessing, so create a notebook and document your thought process. What insights do you gain?
## Rubric
| Criteria | Outstanding | Satisfactory | Needs Improvement |
| -------- | ---------------------------------------------------------------------------------------------------------------- | ----------------------------------------- | ---------------------- |
| | A comprehensive notebook and dataset are provided, with well-documented cells explaining the sentiment analysis | The notebook lacks clear explanations | The notebook has major issues |
---
**Disclaimer**:
This document has been translated using the AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). While we strive for accuracy, please note that automated translations may contain errors or inaccuracies. The original document in its native language should be regarded as the authoritative source. For critical information, professional human translation is recommended. We are not responsible for any misunderstandings or misinterpretations resulting from the use of this translation.