Natural Language Processing in Practice

Course

Online

£ 150 VAT inc.

Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

Use Python and the Natural Language Toolkit to perform various NLP Tasks. Create Chatbots, text analyzers, classifiers, and moreNatural Language Processing (NLP) offers powerful ways to interpret and act on spoken and written language. It can help you with tasks such as customer support enquiries and customer feedback analysis. As the quantity of data continues to grow at an incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. This course will help you gain this skill by practical demonstrations, clear explanations, and interesting real-world examples. It will give you a versatile range of deep learning and NLP skills that you can put to work in your own applications. By the end of this tutorial, you’ll have a better understanding of NLP and will be able to transform data into actionable knowledge. You will also have worked on multiple examples that implement deep learning to solve real-world spoken-language problems. The code bundle for this video course is available at - About the AuthorSmail Oubaalla is a talented Software Engineer with an interest in building the most effective, beautiful, and correct piece of software possible. He has helped companies build excellent programs. He also manages projects and has experience in designing and managing new ones.
When not on the job, he loves hanging out with friends, hiking, and playing sports (football, basketball, rugby, and more). He also loves working his way through every recipe he can find in the family cookbook or elsewhere, and indulging his love for seeing new places.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

Build applications with Python, using the Natural Language Toolkit via NLP
Create your own Chatbot using NLP
Perform several Natural Language Processing tasks
Classify text and speech using the Naive Bayes Algorithm
Use various tools and algorithms to build real-world applications

Questions & Answers

Add your question

Our advisors and other users will be able to reply to you

Who would you like to address this question to?

Fill in your details to get a reply

We will only publish your name and question

Emagister S.L. (data controller) will process your data to carry out promotional activities (via email and/or phone), publish reviews, or manage incidents. You can learn about your rights and manage your preferences in the privacy policy.

Reviews

This centre's achievements

2021

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 6 years

Subjects

  • Word
  • NLP
  • Benefits
  • Network
  • Installation
  • Import
  • Install
  • Network Training
  • Ms Word
  • Information Systems

Course programme

Getting Started with Natural Language Processing 4 lectures 19:58 Setup and Installation How to follow up with the practical steps?
  • Download and install Python
  • Download and install PyCharm community
Understanding NLP and Its Benefits What is NLP?
  • Introduction on why did we invent NLP
  • Define NLP
Exploring NLP Tools and Libraries How to get the root of the different terms in order to combine similar terms or concepts
  • Initialize a stemmer and a lemmatize
  • Process your tagged text through them
  • Check out the lemmas and stems
Getting Started with Natural Language Processing- Quiz Course Overview This video provides an overview of the entire course. Getting Started with Natural Language Processing 4 lectures 19:58 Setup and Installation How to follow up with the practical steps?
  • Download and install Python
  • Download and install PyCharm community
Understanding NLP and Its Benefits What is NLP?
  • Introduction on why did we invent NLP
  • Define NLP
Exploring NLP Tools and Libraries How to get the root of the different terms in order to combine similar terms or concepts
  • Initialize a stemmer and a lemmatize
  • Process your tagged text through them
  • Check out the lemmas and stems
Getting Started with Natural Language Processing- Quiz Course Overview This video provides an overview of the entire course. Setup and Installation How to follow up with the practical steps?
  • Download and install Python
  • Download and install PyCharm community
Setup and Installation How to follow up with the practical steps?
  • Download and install Python
  • Download and install PyCharm community
Setup and Installation How to follow up with the practical steps?
  • Download and install Python
  • Download and install PyCharm community
Setup and Installation How to follow up with the practical steps?
  • Download and install Python
  • Download and install PyCharm community
How to follow up with the practical steps?
  • Download and install Python
  • Download and install PyCharm community
How to follow up with the practical steps?
  • Download and install Python
  • Download and install PyCharm community
Understanding NLP and Its Benefits What is NLP?
  • Introduction on why did we invent NLP
  • Define NLP
Understanding NLP and Its Benefits What is NLP?
  • Introduction on why did we invent NLP
  • Define NLP
Understanding NLP and Its Benefits What is NLP?
  • Introduction on why did we invent NLP
  • Define NLP
Understanding NLP and Its Benefits What is NLP?
  • Introduction on why did we invent NLP
  • Define NLP
What is NLP?
  • Introduction on why did we invent NLP
  • Define NLP
What is NLP?
  • Introduction on why did we invent NLP
  • Define NLP
Exploring NLP Tools and Libraries How to get the root of the different terms in order to combine similar terms or concepts
  • Initialize a stemmer and a lemmatize
  • Process your tagged text through them
  • Check out the lemmas and stems
Exploring NLP Tools and Libraries How to get the root of the different terms in order to combine similar terms or concepts
  • Initialize a stemmer and a lemmatize
  • Process your tagged text through them
  • Check out the lemmas and stems
Exploring NLP Tools and Libraries How to get the root of the different terms in order to combine similar terms or concepts
  • Initialize a stemmer and a lemmatize
  • Process your tagged text through them
  • Check out the lemmas and stems
Exploring NLP Tools and Libraries How to get the root of the different terms in order to combine similar terms or concepts
  • Initialize a stemmer and a lemmatize
  • Process your tagged text through them
  • Check out the lemmas and stems
How to get the root of the different terms in order to combine similar terms or concepts
  • Initialize a stemmer and a lemmatize
  • Process your tagged text through them
  • Check out the lemmas and stems
How to get the root of the different terms in order to combine similar terms or concepts
  • Initialize a stemmer and a lemmatize
  • Process your tagged text through them
  • Check out the lemmas and stems
Getting Started with Natural Language Processing- Quiz Getting Started with Natural Language Processing- Quiz Getting Started with Natural Language Processing- Quiz Getting Started with Natural Language Processing- Quiz Course Overview This video provides an overview of the entire course. Course Overview This video provides an overview of the entire course. Course Overview This video provides an overview of the entire course. Course Overview This video provides an overview of the entire course. This video provides an overview of the entire course. This video provides an overview of the entire course. Dive into NLTK 6 lectures 29:42 Tokenization Tokenizing text into sentences or words
  • Create a tokenize from NLTK
  • Process or tokenize your text
Stop Words What are stop words? How to filter or remove them to keep only the important terms
  • Build a list of stop words
  • Filter them out from your text
Part of Speech Tagging Build the lexical structure of your text or sentence
  • Import a Part of Speech tagger from NLTK
  • Process or tag the terms in the sentence
  • Check out the results or tags
Stemming and Lemmatization How to get the root of the different terms in order to combine similar terms or concepts
  • Initialize a stemmer and a lemmatize
  • Process your tagged text through them
  • Check out the lemmas and stems
Named Entity Recognition How to extract names of people, places
  • Import a Named Entity recognizer form NLTK
  • Process your text to extract the existing named entities
TF-IDF Extract Keywords from the provided NLTK Corpus
  • Import the corpus
  • Apply TF-IDF
  • Check out the top 10 keywords for each document
Dive into NLTK- Quiz Dive into NLTK Extract Keywords from the provided NLTK Corpus
  • Import the corpus
  • Apply TF-IDF
  • Check out the top 10 keywords for each document
Extract Keywords from the provided NLTK Corpus
  • Import the corpus
  • Apply TF-IDF
  • Check out the top 10 keywords for each document
Extract Keywords from the provided NLTK Corpus
  • Import the corpus
  • Apply TF-IDF
  • Check out the top 10 keywords for each document
Dive into NLTK- Quiz Dive into NLTK- Quiz Dive into NLTK- Quiz Dive into NLTK- Quiz Building a Sentiment Analyzer 7 lectures 16:03 Introduction to Sentiment Analysis What is Sentiment Analysis?
  • Definition
Pre-Processing the Dataset What dataset to use? Where to download it? and how to preprocess it
  • Download the dataset using Keras
  • Split to Train and Test data
Word Embeddings What are Word Embeddings?
  • Define word embeddings
  • Add a word embeddings layer to our network
Build the Network What other layers should we add? How to build the network
  • Add two more layers
  • Compile the network
Train the Model Training the model using the train data
  • Train the model
Test the Model Test the accuracy of the model
  • Use test data to test the model
Apply to a Single Input Test the model with a real example?
  • Predict the sentiment of a review
Building a Sentiment Analyzer- Quiz Building a Sentiment Analyzer 7 lectures 16:03 Introduction to Sentiment Analysis What is Sentiment Analysis?
  • Definition
Pre-Processing the Dataset What dataset to use? Where to download it? and how to preprocess it
  • Download the dataset using Keras
  • Split to Train and Test data
Word Embeddings What are Word Embeddings?
  • Define word embeddings
  • Add a word embeddings layer to our network
Build the Network What other layers should we add? How to build the network
  • Add two more layers
  • Compile the network
Train the Model Training the model using the train data
  • Train the model
Test the Model Test the accuracy of the model
  • Use test data to test the model
Apply to a Single Input Test the model with a real example?
  • Predict the sentiment of a review
Building a Sentiment Analyzer- Quiz Introduction to Sentiment Analysis What is Sentiment Analysis?
  • Definition
Introduction to Sentiment Analysis What is Sentiment Analysis?
  • Definition
Introduction to Sentiment Analysis What is Sentiment Analysis?
  • Definition
Introduction to Sentiment Analysis What is Sentiment Analysis?
  • Definition
What is Sentiment Analysis?
  • Definition
What is Sentiment Analysis?
  • Definition
Pre-Processing the Dataset What dataset to use? Where to download it? and how to preprocess it
  • Download the dataset using Keras
  • Split to Train and Test data
Pre-Processing the Dataset What dataset to use? Where to download it? and how to preprocess it
  • Download the dataset using Keras
  • Split to Train and Test data
Pre-Processing the Dataset What dataset to use? Where to download it? and how to preprocess it
  • Download the dataset using Keras
  • Split to Train and Test data
Pre-Processing the Dataset What dataset to use? Where to download it? and how to preprocess it
  • Download the dataset using Keras
  • Split to Train and Test data
What dataset to use? Where to download it? and how to preprocess it
  • Download the dataset using Keras
  • Split to Train and Test data
What dataset to use? Where to download it? and how to preprocess it
  • Download the dataset using Keras
  • Split to Train and Test data
Word Embeddings What are Word Embeddings?
  • Define word embeddings
  • Add a word embeddings layer to our network
Word Embeddings What are Word Embeddings?
  • Define word embeddings
  • Add a word embeddings layer to our network
Word Embeddings What are Word Embeddings?
  • Define word embeddings
  • Add a word embeddings layer to our network
Word Embeddings What are Word Embeddings?
  • Define word embeddings
  • Add a word embeddings layer to our network
What are Word Embeddings?
  • Define word embeddings
  • Add a word embeddings layer to our network
What are Word Embeddings?
  • Define word embeddings
  • Add a word embeddings layer to our network
Build the Network What other layers should we add? How to build the network
  • Add two more layers
  • Compile the network
Build the Network What other layers should we add? How to build the network
  • Add two more layers
  • Compile the network
Build the Network What other layers should we add? How to build the network
  • Add two more layers
  • Compile the network
Build the Network What other layers should we add? How to build the network
  • Add two more layers
  • Compile the network
What other layers should we add? How to build the network
  • Add two more layers
  • Compile the...

Additional information

Python and know the basics of Machine Learning

Natural Language Processing in Practice

£ 150 VAT inc.