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Natural Language Processing

Learn Python text, Introduction to NLP, Text feature and TF- IDF Matrix, Bigrams,
trigrams, ngrams , Similarity , Cosine Similarity and more

What you'll learn

  • To work with text data using python

  • How to use of regular expressions for text analysis

  • Use of spacy library for various task

  • Use NLTK for sentiment analysis

  • Use of stemming lemmatization

  • Use of topic modeling algorithm

  • Use of word2vec algorithm

  • Use of scikit learn for text classification

Machine Learning Training@2x.jpg

₹ 12, 000

This course includes

  • 1 week -Duration

  • Online Training

  • Direct 1-on-1 sessions

  • Certificate of Completion

Enroll Now

Course Content

Python text

  • Read text data from various formats. ex-.txt, pdf, csv etc.

  • Text processing with unicode

  • Regular expression

Introduction to NLP

  • Introduction to NLP

  • Installing NLP libraries

  • Spacy

  • Tokenization, N-grams

  • Stopwords

  • Segmentation

Text Normalization

  • Stemming

  • Lemmatization

Countvectorizer

Text feature and TF- IDF Matrix

Bigrams, trigrams, ngrams

Similarity , Cosine Similarity

Word2vec, Word embedding

Semantic and Sentiment Analysis

Classification

  • Introduction text classification

  • Perform text classification

  • Evaluation of classification model

Topic Modeling

  • Latent Dirichlet Allocation LDA

  • Latent semantic analysis (LSA)

  • Non negative matrix factorization

Project

Requirements

  • Basic knowledge of python programming language

Description

Codersarts is providing an interesting natural language processing online course which teaches fundamental and advanced techniques in NLP. Whether you are new to the field of NLP or want to go deep into it, our course has something for everybody. The natural language processing course offered at Codersarts introduces students to NLP in a non-technical and intuitive way. The program is an excellent foundation and reference tool for those who are already familiar with the subject and wish to sharpen their skills and deepen their knowledge, as well as for beginners who wish to just get their feet wet before diving into the ocean of machine
learning and pattern identification.
In this course you will learn To work with text data using python, How to use of regular expressions for text analysis, Use of spacy library for various task, Use NLTK for sentiment analysis, Use of stemming lemmatization, Use of topic modeling algorithm, Use of word2vec algorithm, Use of scikit learn for text classification and more.

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