NLP Training Using Python

IntelliPaat

How long?

  • online
  • on demand

IntelliPaat

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Who should attend

This NLP certification course is suitable for the following professionals:

  • Who knows to program
  • Python developers
  • Business Analysts
  • Data Scientists
  • Analytics managers or team leads
  • Anyone who is interested in learning Text Mining techniques

What are the prerequisites for taking up the NLP Training?

The candidate must be proficient with Python programming language and have a basic understanding of Machine Learning.

About the course

Intellipaat NLP Training Using Python and NLTK is designed by leading AI experts. By enrolling in this NLP course, you will become proficient in text processing and classifying texts using the Machine Learning algorithms. Also, you thoroughly understand concepts such as Natural Language Processing, Text Mining, Text Classification, Tokenization, Lemmatization, Sentence Structure, Sequence Tagging, Language Modeling, and more using Python's Natural Language Toolkit (NLTK). Further, you can design your own text classifier with the help of practical demonstration sessions conducted at the end of each module in this NLP certification training.

About NLP Training Course

This NLP Training and certification course will allow you to master all the core concepts of Natural Language Processing. Basically, you will learn about NLP and gain a wealth of hands-on experience using Python. This online Natural Language Processing course is a complete package of theory and practical sessions where you can apply your learning in real-time exercises. You will learn about Text Processing, Text Classification, Tokenization, Text Mining, Lemmatization, Sentence Structure, Sequence Tagging, and Language Modeling, POS tagging, efficient usage of Python’s regular expressions, and Natural Language Toolkit.

What will you learn from this NLP Training?

This NLP certification course is developed to make you an expert in NLP using various machine learning and deep learning algorithms. You will be introduced to the concepts of natural language processing with Python and Natural Language Toolkit (NLTK). A few of the many topics that you will become proficient in are as follows:

  • Text Classification
  • Natural Language Processing
  • Text Mining, Cleaning, and Pre-processing
  • Sentence Structure
  • Language Modeling
  • Sequence Tasks
  • Vector Space Models and Semantic Analysis
  • Natural Language Toolkit
  • Dialog systems

Why should you take Natural Language Processing course?

  • According to Indeed, the average salary of an NLP professional is around US$138,680/year.
  • NLP market is speculated to grow to US$26.4 billion by 2024 with CAGR of 21%.

One of the principal disciplines of AI, Natural language processing is used to solve uses analysis tools to read data from large amounts of natural language data to arrive at meaningful conclusions. It involves using the ML algorithms to recognize, categorize, and extract natural language rules to transform unstructured language data into a form that computers can understand.

Now, the current job openings are quite high w.r.t its supply. Therefore, by enrolling yourself in a substantive NLP course, you will become eligible to apply for such high paying jobs.

Is it difficult to learn NLP?

In the field of AI, NLP is one of the most complex areas requiring specific expertise. Since this is one of the most difficult problems to solve, it is also one of the highest-paying jobs. However, by registering for an NLP course (such as Intellipaat’s NLP training), you can easily learn this difficult subject, which covers all core topics and gives you the opportunity to work on a variety of practical projects. This way, you can not only learn but also use your knowledge to solve real-world business problems.

What is the future scope of NLP? Can enrolling in an NLP course help me find a job?

If you belong to IT, you must be aware of the fact that AI is the future. Now NLP is a fusion of ML, AI, and linguistics that enables us to communicate with machines! If you learned this interesting topic, you can easily harness unstructured data, perform sentiment analysis, integrate BI into chat bots, create your own personal assistant, and more.

This area is undoubtedly one of the most profitable areas and entails high pay, a high level of learning. To shape your future in this field, you should choose industry-recognized NLP training.

NLP Course Content

  • Overview of Natural Language Processing and Text Mining

Introduction to Natural Language Processing (NLP), Introduction to Text Mining, importance and applications of Text Mining, how NPL works with Text Mining, writing and reading to word files, OS Module, Natural Language Toolkit (NLTK) Environment.

Hands-on Exercise: Learning Natural Language Toolkit and NLTK Corpora, reading and writing .txt files to/from local drive, reading and writing .docx Files to/from local drive.

  • Text Mining, Cleaning, and Pre-processing

Various Tokenizers, Tokenization, Frequency Distribution, Stemming, POS Tagging, Lemmatization, Bigrams, Trigrams & Ngrams, Lemmatization, Entity Recognition.

Hands-on Exercise: Learning Word Tokenization with Python regular expressions, Sentence Tokenizers, Stopword Removal, Bigrams, Trigrams, and Ngrams, Named Entity Recognition, and POS Tagging.

  • Text Classification

Overview of Machine Learning, Words, Term Frequency, Count Vectorizer, Inverse Document Frequency, Text conversion, Confusion Matrix, Naiive Bayes Classifier.

Hands-on Exercise: Demonstration of Count Vectorizer, Words, Term Frequency, Inverse Document Frequency, Text conversion, text classification, and Confusion Matrix.

  • Sentence Structure, Sequence Tagging, Sequence Tasks, and Language Modeling

Language Modeling, Sequence Tagging, Sequence Tasks, Predicting Sequence of Tags, Syntax Trees, Context-Free Grammars, Chunking, Automatic Paraphrasing of Texts, Chinking.

Hands-on Exercise: Demonstration of Syntax Trees, Chunking, Automatic Paraphrasing of Texts, and Chinking.

  • Introduction to Semantics and Vector Space Models

Distributional Semantics, Traditional Models, Tools for sentence and word embeddings, an overview of Topic Models.

Hands-on Exercise: Embedding word and sentence.

  • Dialog Systems

Introduction to task-oriented Dialog Systems, Natural Language Understanding, Dialog Manager.

Hands-on Exercise: Design your own Dialog System.

NLP Project

What projects I will be working on this NLP Training Using Python?

Project: Analyze Movie Review Data with NLP

Industry: Entertainment

Problem Statement: Perform sentiment analysis on a given dataset to analyze movie reviews

Project Description: In this project, as an NLP engineer, your job is to pre-process the data using tokenization and lemmatization and then develop an understanding of the different components of the data by identifying different parts of the speech and named entities in the text. After having a sufficient understanding of the attributes and syntactic structure of the text, perform a sentimental analysis task on the data by classifying whether movie reviews are positive or negative.

Highlights:

In this project, you will edit the dataset “Movie Reviews“, which is included in NLTK Corpus. The dataset contains multiple positive and negative reviews retrieved from the imdb.com.

NLP Certification

The entire NLP training course content is designed by industry professionals to get the best jobs in the top MNCs.

At the end of the training program, there will be quizzes that perfectly reflect the type of questions asked in the respective certification exams and helps you score better marks in the certification exam.

Intellipaat Course Completion Certification will be awarded on the completion of Project work (on expert review) and upon scoring of at least 60% marks in the quiz. Intellipaat certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.

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NLP Training Using Python at IntelliPaat

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Full disclaimer.

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