{"id":12156,"date":"2022-03-01T18:54:57","date_gmt":"2022-03-01T17:54:57","guid":{"rendered":"https:\/\/flaven.fr\/?post_type=bf_videos_manager&#038;p=12156"},"modified":"2022-03-02T04:26:17","modified_gmt":"2022-03-02T03:26:17","slug":"part-1-the-project-automate-p-o-job-supports-demo-automate_po_job_demo_support","status":"publish","type":"bf_videos_manager","link":"https:\/\/flaven.fr\/videos\/part-1-the-project-automate-p-o-job-supports-demo-automate_po_job_demo_support\/","title":{"rendered":"Part 1 &#8211; The project  &#8220;AUTOMATE P.O. JOB SUPPORT\u2019S DEMO&#8221; (automate_po_job_demo_support)"},"content":{"rendered":"<p><b>QUICK DESCRIPTION<\/b><br \/>\nA Streamlit application that automate a User Support task for P.O with an NLP KeyBERT Text Analyzer<\/p>\n<p><b>All the files are available on my GitHub account<\/b><\/p>\n<ul>\n<li>The project &#8220;AUTOMATE P.O. JOB SUPPORT&#8217;S DEMO&#8221; (automate_po_job_demo_support)<br \/><a href=\"https:\/\/github.com\/bflaven\/BlogArticlesExamples\/tree\/master\/automate_po_job_demo_support\" target=\"_blank\" rel=\"noopener\">automate_po_job_demo_support<\/a><\/li>\n<li>The project &#8220;KeyBERT Rough Text Analyzer&#8221;<br \/>\n(discovering_bert_and_keybert)<br \/><a href=\"https:\/\/github.com\/bflaven\/BlogArticlesExamples\/tree\/master\/discovering_bert_and_keybert\" target=\"_blank\" rel=\"noopener\">discovering_bert_and_keybert<\/a><\/li>\n<li>The merge of the 2 projects: &#8220;KeyBERT Rough Text Analyzer&#8221; and &#8220;AUTOMATE P.O. JOB SUPPORT&#8217;S DEMO&#8221; (all_in_one_automate_po_job_demo_support_keybert)<br \/><a href=\"https:\/\/github.com\/bflaven\/BlogArticlesExamples\/tree\/master\/all_in_one_automate_po_job_demo_support_keybert\" target=\"_blank\" rel=\"noopener\">automate_po_job_demo_support<\/a><\/li>\n<\/ul>\n<p><b>The project leverages on these libraries.<\/b><\/p>\n<ul>\n<li>Streamlit: <a href=\"https:\/\/streamlit.io\/\" target=\"_blank\" rel=\"noopener\">https:\/\/streamlit.io\/<\/a><\/li>\n<li>SQLAlchemy: <a href=\"https:\/\/www.sqlalchemy.org\/\" target=\"_blank\" rel=\"noopener\">https:\/\/www.sqlalchemy.org\/<\/a><\/li>\n<li>KeyBERT: <a href=\"https:\/\/maartengr.github.io\/KeyBERT\/index.html\" target=\"_blank\" rel=\"noopener\">https:\/\/maartengr.github.io\/KeyBERT\/<\/a><\/li>\n<li>SQLite: <a href=\"https:\/\/sqlite.org\/\" target=\"_blank\" rel=\"noopener\">https:\/\/sqlite.org\/<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>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&hellip; <\/p>\n<p class=\"text-center\"><a href=\"https:\/\/flaven.fr\/videos\/part-1-the-project-automate-p-o-job-supports-demo-automate_po_job_demo_support\/\" class=\"more-link\">Continue reading &rarr; <span class=\"screen-reader-text\">Part 1 &#8211; The project  &#8220;AUTOMATE P.O. JOB SUPPORT\u2019S DEMO&#8221; (automate_po_job_demo_support)<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":11699,"comment_status":"open","ping_status":"closed","template":"","bf_videos_manager_tag":[2707,2668,2685,2797,2870,2719,2771,2711,2704,2864,2752,2800,2694,2802,2755,2754,2803,2684,2683,2840,2672,2717,2688,2848,2812,2806],"bf_videos_manager_cat":[2729,2700,2681,2678,2679,2680],"class_list":["post-12156","bf_videos_manager","type-bf_videos_manager","status-publish","has-post-thumbnail","hentry","bf_videos_manager_tag-agile","bf_videos_manager_tag-ai","bf_videos_manager_tag-anaconda","bf_videos_manager_tag-artificial-intelligence","bf_videos_manager_tag-automate","bf_videos_manager_tag-automation","bf_videos_manager_tag-automatization","bf_videos_manager_tag-bulk","bf_videos_manager_tag-bulk-processing","bf_videos_manager_tag-dashboard","bf_videos_manager_tag-development","bf_videos_manager_tag-ia","bf_videos_manager_tag-keywords-extraction","bf_videos_manager_tag-language","bf_videos_manager_tag-learning","bf_videos_manager_tag-learning-by-doing","bf_videos_manager_tag-natural-language-processing","bf_videos_manager_tag-nlp","bf_videos_manager_tag-p-o","bf_videos_manager_tag-po","bf_videos_manager_tag-python","bf_videos_manager_tag-solution","bf_videos_manager_tag-spacy","bf_videos_manager_tag-sqlalchemy","bf_videos_manager_tag-sqlite","bf_videos_manager_tag-streamlit","bf_videos_manager_cat-agile","bf_videos_manager_cat-anaconda","bf_videos_manager_cat-development","bf_videos_manager_cat-python","bf_videos_manager_cat-tutorials","bf_videos_manager_cat-videos"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager\/12156","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager"}],"about":[{"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/types\/bf_videos_manager"}],"author":[{"embeddable":true,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/comments?post=12156"}],"version-history":[{"count":1,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager\/12156\/revisions"}],"predecessor-version":[{"id":12157,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager\/12156\/revisions\/12157"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/media\/11699"}],"wp:attachment":[{"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/media?parent=12156"}],"wp:term":[{"taxonomy":"bf_videos_manager_tag","embeddable":true,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager_tag?post=12156"},{"taxonomy":"bf_videos_manager_cat","embeddable":true,"href":"https:\/\/flaven.fr\/happy-api\/wp\/v2\/bf_videos_manager_cat?post=12156"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}