Comments (2)
Thank you David. After examining the results more carefully, unlike the above screenshots,
I found plenty on non-NULL values (screenshots below); so the output is correct and there is no such a bug.
Yes, I have read your writings on GitHub, Kaggle, and tds as well as Ankur Mohanโs blogs about your work. Your models are very nice, I have learned a lot from them.
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Hi David,
Unfortunately, NLTK has different models that are installed with different installations. Thank you for sharing that you needed to install an additional model.
Regarding study design, not all documents will have a detected study design (will be 0). Only certain documents will be tagged as COVID-19.
Please take a look at: https://www.kaggle.com/davidmezzetti/cord-19-etl and https://www.kaggle.com/davidmezzetti/cord-19-analysis-with-sentence-embeddings
These notebooks on Kaggle have all the background on how this process works.
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Related Issues (20)
- Ensure length of sections is less than max nlp length
- Support spaCy 3.0 HOT 2
- Improve sample size extraction
- Add generic CSV source
- Add common method for accessing Grammar object
- Update CORD-19 entry dates source
- Detect month changes in CORD-19 entry date process
- Remove study attribute and design models and all related dependencies
- Add pre-commit checks
- Remove legacy merge logic
- Add database flag to determine if database should be replaced
- Add multiprocessing support to files process
- Support reading compressed files
- Require Python 3.7+
- Issue processing into Elasticsearch HOT 5
- Improve PMB filtering logic
- Add example notebook
- Update CORD-19 scripts
- sqlite3.OperationalError: database is locked HOT 6
- AttributeError: 'NoneType' object has no attribute 'upper' HOT 3
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