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NLP Tutorial 4 - SpaCy Python Tutorial | Linguistic Features Extraction in NLP

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This tutorial is a crisp and effective introduction to spaCy and the various NLP linguistic features it offers. We will perform several NLP related tasks, such as Tokenization, part-of-speech tagging, named entity recognition, dependency parsing, and Visualization using displaCy.
Processing raw text intelligently is difficult: most words are rare, and it’s common for words that look completely different to mean almost the same thing. That’s exactly what spaCy is designed to do: you put in raw text and get back a Doc object, that comes with a variety of Linguistic annotations. spaCy acts as a one-stop-shop for various tasks used in NLP projects, such as Tokenization, Lemmatisation, Part-of-speech(POS) tagging, Name entity recognition, Dependency parsing, Sentence Segmentation, Word-to-vector transformations, and other cleaning and normalization text methods.
🔊 Watch till last for a detailed description
00:39 Understanding problem statement
05:58 Installing the packages
10:17 Tokenization
16:18 POS tagging
27:00 Dependency parsing
31:14 Named entity recognition
34:09 Sentence segmentation
45:36 Visualization
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Processing raw text intelligently is difficult: most words are rare, and it’s common for words that look completely different to mean almost the same thing. That’s exactly what spaCy is designed to do: you put in raw text and get back a Doc object, that comes with a variety of Linguistic annotations. spaCy acts as a one-stop-shop for various tasks used in NLP projects, such as Tokenization, Lemmatisation, Part-of-speech(POS) tagging, Name entity recognition, Dependency parsing, Sentence Segmentation, Word-to-vector transformations, and other cleaning and normalization text methods.
🔊 Watch till last for a detailed description
00:39 Understanding problem statement
05:58 Installing the packages
10:17 Tokenization
16:18 POS tagging
27:00 Dependency parsing
31:14 Named entity recognition
34:09 Sentence segmentation
45:36 Visualization
👇👇👇👇👇👇👇👇👇👇👇👇👇👇
✍️🏆🏅🎁🎊🎉✌️👌⭐⭐⭐⭐⭐
ENROLL in My Highest Rated Udemy Courses
to 🔑 Unlock Data Science Interviews 🔎 and Tests
📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
---------------------------------------------------------------
💯 Read Full Blog with Code
💬 Leave your comments and doubts in the comment section
📌 Save this channel and video for watch later
👍 Like this video to show your support and love ❤️
~~~~~~~~
🆓 Watch My Top Free Data Science Videos
👉🏻 Python for Data Scientist
👉🏻 Machine Learning for Beginners
👉🏻 Feature Selection in Machine Learning
👉🏻 Text Preprocessing and Mining for NLP
👉🏻 Natural Language Processing (NLP)
👉🏻 Deep Learning with TensorFlow 2.0
👉🏻 COVID 19 Data Analysis and Visualization
👉🏻 Machine Learning Model Deployment Using
👉🏻 Make Your Own Automated Email Marketing
***********
🤝 BE MY FRIEND
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