This Course covered all the topics you need to know to master yourself in NLP (Natural language Processing) Using Python in Artificial Intelligence(AI). Natural Language Processing (NLP) uses algorithms to understand and manipulate human language. This technology is one of the most broadly applied areas of machine learning.

Natural Language Processing(NLP) Basic to Advance course includes various topics listed below-

• Introduction to Natural Language Processing(NLP)

• NLP (POS)

• What is TextBlob

• Sentiment Analysis

• Bag of Word (BoW)

• Word Embedding

• Text Summarization

• TTS- ENGLISH LANGUAGE

• TTS- Hindi LANGUAGE

• Chat bot introduction

• chatbot using chatter library

• sentiment analysis on movie review

• Natural Language Processing (NLP) transfer learning

• Project - Natural Language Processing (NLP) transfer learning

• seq2seq model

• seq2seq machine translation attention model

• image captioning

• word2vec

• Attention model example

Applications of Natural Language Processing(NLP)

1. Google Translate

2. Sentimental Analysis (Emoji)

3. Speech Recognition

4. Auto correction and many more.

What is NLTK (Natural Language Tool Kit)

NLTK is a leading platform for building Python programs to work with human language data.NLTK, the most widely-mentioned Natural Language Processing(NLP) library for Python.

here are eight parts of speech in the English language: noun, pronoun, verb, adjective, adverb, preposition, conjunction, and interjection.

And we also know that a word can behave both as a verb, noun and any pos , according to the situation of word in sentence.

In NLP we have POS tag list , which actually categorize different word into pos. (If you want to see taglist and description just google it)

At the end of this course, you will be ready to design Natural Language Processing(NLP) applications that perform sentiment analysis and question-answering, create tools to translate languages and summarize text, generate text etc.