Natural Language Processing in Practice
Course
Online
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
Start date
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
Reviews
This centre's achievements
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
- Download and install Python
- Download and install PyCharm community
- Introduction on why did we invent NLP
- Define NLP
- Initialize a stemmer and a lemmatize
- Process your tagged text through them
- Check out the lemmas and stems
- Download and install Python
- Download and install PyCharm community
- Introduction on why did we invent NLP
- Define NLP
- Initialize a stemmer and a lemmatize
- Process your tagged text through them
- Check out the lemmas and stems
- Download and install Python
- Download and install PyCharm community
- Download and install Python
- Download and install PyCharm community
- Download and install Python
- Download and install PyCharm community
- Download and install Python
- Download and install PyCharm community
- Download and install Python
- Download and install PyCharm community
- Download and install Python
- Download and install PyCharm community
- Introduction on why did we invent NLP
- Define NLP
- Introduction on why did we invent NLP
- Define NLP
- Introduction on why did we invent NLP
- Define NLP
- Introduction on why did we invent NLP
- Define NLP
- Introduction on why did we invent NLP
- Define NLP
- Introduction on why did we invent NLP
- Define NLP
- Initialize a stemmer and a lemmatize
- Process your tagged text through them
- Check out the lemmas and stems
- Initialize a stemmer and a lemmatize
- Process your tagged text through them
- Check out the lemmas and stems
- Initialize a stemmer and a lemmatize
- Process your tagged text through them
- Check out the lemmas and stems
- Initialize a stemmer and a lemmatize
- Process your tagged text through them
- Check out the lemmas and stems
- Initialize a stemmer and a lemmatize
- Process your tagged text through them
- Check out the lemmas and stems
- Initialize a stemmer and a lemmatize
- Process your tagged text through them
- Check out the lemmas and stems
- Create a tokenize from NLTK
- Process or tokenize your text
- Build a list of stop words
- Filter them out from your text
- Import a Part of Speech tagger from NLTK
- Process or tag the terms in the sentence
- Check out the results or tags
- Initialize a stemmer and a lemmatize
- Process your tagged text through them
- Check out the lemmas and stems
- Import a Named Entity recognizer form NLTK
- Process your text to extract the existing named entities
- Import the corpus
- Apply TF-IDF
- Check out the top 10 keywords for each document
- Import the corpus
- Apply TF-IDF
- Check out the top 10 keywords for each document
- Import the corpus
- Apply TF-IDF
- Check out the top 10 keywords for each document
- Import the corpus
- Apply TF-IDF
- Check out the top 10 keywords for each document
- Definition
- Download the dataset using Keras
- Split to Train and Test data
- Define word embeddings
- Add a word embeddings layer to our network
- Add two more layers
- Compile the network
- Train the model
- Use test data to test the model
- Predict the sentiment of a review
- Definition
- Download the dataset using Keras
- Split to Train and Test data
- Define word embeddings
- Add a word embeddings layer to our network
- Add two more layers
- Compile the network
- Train the model
- Use test data to test the model
- Predict the sentiment of a review
- Definition
- Definition
- Definition
- Definition
- Definition
- Definition
- Download the dataset using Keras
- Split to Train and Test data
- Download the dataset using Keras
- Split to Train and Test data
- Download the dataset using Keras
- Split to Train and Test data
- Download the dataset using Keras
- Split to Train and Test data
- Download the dataset using Keras
- Split to Train and Test data
- Download the dataset using Keras
- Split to Train and Test data
- Define word embeddings
- Add a word embeddings layer to our network
- Define word embeddings
- Add a word embeddings layer to our network
- Define word embeddings
- Add a word embeddings layer to our network
- Define word embeddings
- Add a word embeddings layer to our network
- Define word embeddings
- Add a word embeddings layer to our network
- Define word embeddings
- Add a word embeddings layer to our network
- Add two more layers
- Compile the network
- Add two more layers
- Compile the network
- Add two more layers
- Compile the network
- Add two more layers
- Compile the network
- Add two more layers
- Compile the...
Additional information
Natural Language Processing in Practice
