CertAchiever

Natural Language Processing with Python

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Instructor-led live online classes

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Natural Language Processing with Python

$289

Natural Language Processing with Python

Natural Language Processing with Python course will take you through the essentials of text processing all the way up to classifying texts using Machine Learning algorithms. You will learn various concepts such as Tokenization, Stemming, Lemmatization, POS tagging, Named Entity Recognition, Syntax Tree Parsing and so on using Python’s most famous NLTK package. Once you delve into NLP, you will learn to build your own text classifier using the Naïve Bayes algorithm.

Training Features

Instructor-led Sessions

Both Weekdays and Weekend batches are available.

Real-Life Case Studies

During the sessions you will be working on the case studies provided by the trainer.

Lifetime Access

You will get the life time access of training material including videos & study guides..

Assignments

Each class will be followed by practical assignments to practice the concepts covered in class

24 x 7 Expert Support

We have a lifetime 24x7 online support team to resolve all your technical queries,through a ticket based tracking system..

Certification

Towards the end of the course, you will be awarded with Training competition certification based on you performance.

Course Curriculum

Learning Objectives

In this module, you will learn about text mining and the ways of extracting and reading data from some common file types including NLTK corpora

Topics Covered

Overview of Text Mining, Need of Text Mining, Natural Language Processing (NLP) in Text Mining, Applications of Text Mining, OS Module, Reading, Writing to text and word files, Setting the NLTK Environment, Accessing the NLTK Corpora

Hands On

Install NLTK Packages using NLTK Downloader, Accessing your operating system using the OS Module in Python, Reading & Writing .txt Files from/to your Local, Reading & Writing .docx Files from/to your Local, Working with the NLTK Corpora

Learning Objectives

This module will help you understand some ways of text extraction and cleaning using NLTK.

Topics Covered

Tokenization, Frequency Distribution, Different Types of Tokenizers, Bigrams, Trigrams & Ngrams, Stemming, Lemmatization, Stopwords, POS Tagging, Named Entity Recognition

Hands On

Tokenization: Regex, Word, Blank line, Sentence Tokenizers, Bigrams, Trigrams & Ngrams, Stopword Removal, POS Tagging, Named Entity Recognition (NER)

Learning Objectives

In this Module, you will learn how to analyse a sentence structure using a group of words to create phrases and sentences using NLP and the rules of English grammar

Topics Covered

Syntax Trees, Chunking, Chinking, Context Free Grammars (CFG), Automating Text Paraphrasing

Hands On

Parsing Syntax Trees, Chunking, Chinking, Automate Text Paraphrasing using CFG’s

Learning Objectives

In this module, you will explore text classification, vectorization techniques and processing using scikit-learn

Topics Covered

Machine Learning: Brush Up, Bag of Words, Count Vectorizer, Term Frequency (TF), Inverse Document Frequency (IDF)

Hands On

Demonstrate Bag of Words Approach, Working with CountVectorizer(), Using TF & IDF

Learning Objectives

In this module, you will learn to build a Machine Learning classifier for text classification

Topics Covered

Converting text to features and labels, Multinomial Naive Bayes Classifier, Leveraging Confusion Matrix

Hands On

Converting text to features and labels, Demonstrate text classification using Multinomial NB Classifier, Leveraging Confusion Matrix

Learning Objectives

At the end of this module, you should be able to: Implement all the text processing techniques starting with tokenizationExpress your end to end work on Text MiningImplement Machine Learning along with Text Processing Hands-On: Sentiment Analysis

Topics Covered

Implement all the text processing techniques starting with tokenization, Express your end to end work on Text Mining, Implement Machine Learning along with Text Processing

Hands On

Sentiment Analysis

FAQ's

You will never miss a lecture at CertAchiever! You can choose either of the two options:

View the recorded session of the class available in your LMS.

·You can attend the missed session, in any other live batch."

We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in the class.

You can give us a CALL at +918882136965 (IN) OR email at admin@certachiever.com

Certification

Once your training will complete, you will be awarded with training completion certification from the Trainer.