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Pull Request Overview
This PR improves the project's documentation by updating the README and reflects minor modifications in the repository layout. Key changes include:
- Adding a CI badge to the README.
- Updating the file tree structure under Sentiment_Analysis and modules to reflect new organization.
- Adding a GitHub Actions workflow file for running tests.
Comments suppressed due to low confidence (2)
README.md:122
- [nitpick] The names 'text_vectorizer_sentiment_analysis.py' and 'text_vectorizer.py' are similar; please confirm that their functionalities are distinct and consider adding clarifying documentation for their differences.
+│ │ ├── text_vectorizer_sentiment_analysis.py # Text vectorization for sentiment analysis
README.md:124
- [nitpick] The filename 'model_bert_other.py' might be ambiguous; consider renaming it to more specifically reflect its functionality if applicable.
+│ │ ├── model_bert_other.py # BERT-based sentiment analysis model
README.md
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| @@ -1,4 +1,5 @@ | |||
| [](https://github.com/charliermarsh/ruff) | |||
| [](https://github.com/your-repo/actions) | |||
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Consider replacing 'your-repo' with the actual repository name to ensure the badge points to the correct CI URL.
Suggested change
| [](https://github.com/your-repo/actions) | |
| [](https://github.com/username/repository-name/actions) |
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Pull Request Overview
This PR updates the README to incorporate a new CI badge and refresh the documented file structure details to reflect recent module reorganizations and the addition of a new GitHub Actions workflow.
- Added a "CI: Passed" badge to highlight continuous integration status.
- Updated module file listings and descriptions with renamed and additional entries.
- Introduced a new workflow file for running tests.
Comments suppressed due to low confidence (1)
README.md:122
- [nitpick] Consider verifying that the naming clearly distinguishes this file from the generic text_vectorizer.py while aligning with existing naming conventions.
│ │ ├── text_vectorizer_sentiment_analysis.py # Text vectorization for sentiment analysis
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