Part 3 – The merge of the 2 projects: “KeyBERT Rough Text Analyzer” and “AUTOMATE P.O. JOB SUPPORT’S DEMO” (all_in_one_automate_po_job_demo_support_keybert)
QUICK DESCRIPTION
A Streamlit application that automate a User Support task for P.O with an NLP KeyBERT Text Analyzer
All the files are available on my GitHub account
- The project “AUTOMATE P.O. JOB SUPPORT’S DEMO” (automate_po_job_demo_support)
automate_po_job_demo_support - The project “KeyBERT Rough Text Analyzer”
(discovering_bert_and_keybert)
discovering_bert_and_keybert - The merge of the 2 projects: “KeyBERT Rough Text Analyzer” and “AUTOMATE P.O. JOB SUPPORT’S DEMO” (all_in_one_automate_po_job_demo_support_keybert)
automate_po_job_demo_support
The project leverages on these libraries.
- Streamlit: https://streamlit.io/
- SQLAlchemy: https://www.sqlalchemy.org/
- KeyBERT: https://maartengr.github.io/KeyBERT/
- SQLite: https://sqlite.org/
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Tag(s) : Agile, AI, Anaconda, application, artificial intelligence, Automate, Automation, Automatization, Bulk processing, IA, language, Learning, Learning-by-doing, Natural language processing, NLP, P.O, Python, Solution, SpaCy, SQLAlchemy, SQLite, Streamlit
Categorie(s) : Agile, Anaconda, Python, Tutorials, Videos