Natural Language Processing with Python
Where to Watch Natural Language Processing with Python
18
Programming Example of Singular Value Decomposition
2017-12-28
This section introduces the concept of dimensionality reduction and explains why it is used in the context of latent semantic analysis. An example problem is then worked out by importing the native NLTK Reuters dataset and performing dimensionality reduction using principal component analysis.
Watch Natural Language Processing with Python Season 1 Episode 18 Now
17
Programming Example of Principal Component Analysis
2017-12-28
This section introduces the concept of dimensionality reduction and explains why it is used in the context of latent semantic analysis. An example problem is then worked out by importing the native NLTK Reuters dataset and performing dimensionality reduction using principal component analysis.
Watch Natural Language Processing with Python Season 1 Episode 17 Now
16
Starting with Latent Semantic Analysis
2017-12-28
This section introduces latent semantic analysis and explains how it can be used to classify text datasets. We begin the LSA example by importing the native NLTK Reuters dataset.
Watch Natural Language Processing with Python Season 1 Episode 16 Now
15
Perform Sentiment Classification on a Movie Rating Dataset
2017-12-28
This video will finish constructing our Deep Learning classifier using Keras and we'll train it to make predictions on the IMDB movie rating dataset. We'll then create a performance metric and use it to demonstrate how well our classifier predicts the positive or negative sentiment classes.
Watch Natural Language Processing with Python Season 1 Episode 15 Now
14
Programming Your Own Sentiment Classifier Using NLTK
2017-12-28
This video will walkthrough a step-by-step tutorial showing how to construct their own sentiment classifier.
Watch Natural Language Processing with Python Season 1 Episode 14 Now
13
Introduction to Recurrent Neural Network and Long Short Term Memory
2017-12-28
This video will introduce to recurrent Neural Networks and the long short term memory architecture. We'll also learn about the motivation behind their use in the context of NLP.
Watch Natural Language Processing with Python Season 1 Episode 13 Now
12
Count Function in NLTK
2017-12-28
This video will introduce to the Count function, explain why it is important in the context of NLP, and demonstrate how to count tokens using the NLTK library.
Watch Natural Language Processing with Python Season 1 Episode 12 Now
11
Dispersion Plot Function in NLTK
2017-12-28
This video will introduce to the Dispersion function, explain why it is import in the context of NLP, and demonstrate how to create a dispersion plot using the NLTK library.
Watch Natural Language Processing with Python Season 1 Episode 11 Now
10
Similar Function in NLTK
2017-12-28
This video will introduce to the similarity function, explain why it is import in the context of NLP, and demonstrate how to identify similar words using the NLTK library.
Watch Natural Language Processing with Python Season 1 Episode 10 Now
9
Concordance Function in NLTK
2017-12-28
This video will introduce the student to the Concordance function, explain why it is import in the context of NLP, and demonstrate how to create a concordance using the NLTK library.
Watch Natural Language Processing with Python Season 1 Episode 9 Now
8
Frequency Distribution on Your Text with NLTK
2017-12-28
This video will build on the previous lesson and demonstrate how to create some sample text, produce a cumulative frequency plot, and introduce related topics including hapaxes, and text searches with conditional statements.
Watch Natural Language Processing with Python Season 1 Episode 8 Now
7
Frequency Distribution with NLTK
2017-12-28
This video will describe what a frequency distribution is and how we can create one using NLTK.
Watch Natural Language Processing with Python Season 1 Episode 7 Now
6
Named Entity Recognition
2017-12-28
This video will introduce the named entity recognition, describe the motivation for its use, and explore various examples to explain how it can be done using NLTK.
Watch Natural Language Processing with Python Season 1 Episode 6 Now
5
Stemming and Lemmatization
2017-12-28
This video will introduce to stemming and lemmatization, describe the motivation for its use, and explore various examples to explain how it can be done using NLTK.
Watch Natural Language Processing with Python Season 1 Episode 5 Now
4
Part-Of-Speech Tagging
2017-12-28
This video will introduce the Part-Of-Speech tagging, describe the motivation for its use, and explore various examples to explain how it can be done using NLTK.
Watch Natural Language Processing with Python Season 1 Episode 4 Now
3
Implementing Simple NLP Tasks and Exploring NLTK Libraries
2017-12-28
This video will demonstrate how to open up the Jupyter Notebook programming environment and introduce you to basic commands. We'll begin by importing the NLTK library and explore some of the book and corpus that are included as native datasets.
Watch Natural Language Processing with Python Season 1 Episode 3 Now
2
Installing and Setting Up NLTK
2017-12-28
This video will describe what software we will need to get started with the course and will demonstrate how to download, install, and set up the NLTK library.
Watch Natural Language Processing with Python Season 1 Episode 2 Now
1
The Course Overview
2017-12-28
This video provides an overview of the entire course.
Watch Natural Language Processing with Python Season 1 Episode 1 Now
Natural Language Processing with Python is a series categorized as a new series. Spanning 1 seasons with a total of 22 episodes, the show debuted on 2017. The series has earned a no reviews from both critics and viewers. The IMDb score stands at undefined.
How to Watch Natural Language Processing with Python
How can I watch Natural Language Processing with Python online? Natural Language Processing with Python is available on Packt Publishing with seasons and full episodes. You can also watch Natural Language Processing with Python on demand at Amazon online.
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