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In this tutorial, we will cover the language processing pipeline in spacy. We can get some pre-trained language pipelines that give some components such as tagger, parser, ner free out of the box. Using these components you can detect part of speech, named entities, perform sentence segmentation, etc. NLP platform: https://www.firstlanguage.in/ ⭐️ Timestamps ⭐️ 00:00 Introduction 00:11 Blank NLP pipeline 02:33 Download pre-trained pipeline 08:29 Named entity recognition 13:59 Language processing pipeline in French 16:16 Add the component to a blank pipeline Code: https://github.com/codebasics/nlp-tutorials/blob/main/5_spacy_lang_processing_pipeline/spacy_pipelines.ipynb Exercise: https://github.com/codebasics/nlp-tutorials/blob/main/5_spacy_lang_processing_pipeline/language_processing_exercise.ipynb Complete NLP Playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uuvuAXhYjV2lMEShq2UYSwX 🔖Hashtags🔖 #nlp #nlptutorial #nlppython #spacytutorial #spacytutorialnlp #pipeinspacy #nlppipeline #languageprocessingpipeline #createpipelines #spacypipeline #customspacypipeline Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses. Need help building software or data analytics and AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website. 🎥 Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg #️⃣ Social Media #️⃣ 🔗 Discord: https://discord.gg/r42Kbuk 📸 Instagram: https://www.instagram.com/codebasicshub/ 🔊 Facebook: https://www.facebook.com/codebasicshub 📱 Twitter: https://twitter.com/codebasicshub 📝 Linkedin (Personal): https://www.linkedin.com/in/dhavalsays/ 📝 Linkedin (Codebasics): https://www.linkedin.com/company/codebasics/ 🔗 Patreon: https://www.patreon.com/codebasics?fan_landing=true ❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.
