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# DOI Summarizer and Recommender
This is live on Flask: rwilfong.pythonanywhere.com
### Required Libraries
1. ``Flask:``
- Flask
- render_template
- request
- redirect
- url_for
- session
2. ``Datetime:``
- datetime
3. ``Collections:``
- defaultdict
4. ``scikit-learn:``
- sklearn.feature_extraction.text: CountVectorizer, TfidfVectorizer
- sklearn.metrics.pairwise: cosine_similarity
5. ``NLTK:``
- nltk.tokenize: sent_tokenize
- nltk.collocations: BigramAssocMeasures, BigramCollocationFinder
- nltk.corpus import stopwords
6. ``NetworkX``
7. ``NumPy``
8. ``xml.etree.ElementTree``
9. ``sqlite3``
10. ``Biopython:``
- Entrez
11. ``string:``
- punctuation
### Workflow
The workflow can be found in 'project_writeup.pdf' under 'Breakdown of Work and Methods Used'.