Natural Language Processing | NLP with Deep Learning and Machine Learning | NLP Using Python
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In this natural language processing video, you will learn what is a natural language, text mining in NLP, file handling in python, NLTK package, tokenization, artificial intelligence, hands-on demo, frequency distribution, stop words, and the concepts of bigrams, trigrams, and n-grams, NLP interview questions in detail. This NLP with Deep Learning and Machine Learning video is a must-watch for everyone who wants to learn NLP and make a career in the AI domain.
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The following topics are covered in this video:
01:47 - Introduction to NLP
03:41 - Tokenization
12:13 - Lemmatization
13:36 - Parts of Speech Tagging
16:12 - Named Entity Recognition
18:29 - Introduction to Spacy
26:07 - Sentiment Analysis using NLTK
46:26 - Text Mining
47:12 - Need of Text Mining
48:19 - Natural Language Processing(NLP)
49:21 - Installing Anaconda
51:19 - OS Module in Python
58:35 - File Handling in Python
59:26 - Creating File Object
01:00:35 - Reading from a File
01:04:02 - Writing to a File
01:08:07 - Working with Word Files
01:13:27 - Natural Language Toolkit (NLTK)
01:14:12 - NLTK Corpora
01:15:51 - Chunking
01:36:34 - Chinking
01:43:04 - Why Artificial Intelligence?
01:50:35 - Machine Learning
01:55:50 - Machine Learning Types
02:05:12 - Introduction to Deep Learning
02:07:40 - Application of Deep Learning
02:10:07 - What is Neural Network?
02:17:10 - Activation Functions
02:21:23 - Perceptron Training Algorithm
02:24:11 - What are Tensors?
02:26:07 - Program Elements in Tensorflow
02:47:04 - Artificial Intelligence Developers
02:55:24 - AI Developer Guide
03:00:32 - AI Developer: Job Descriptions
03:03:39 - Artificial Intelligence Project
03:32:09 - HR Analytics
04:59:35 - NLP Interview Questions and Answers
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🔵 Why should you watch this natural language processing tutorial?
NLP market is speculated to grow to US$26.4 billion by 2024 with a 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.
🔵 Why Artificial Intelligence is important?
Artificial Intelligence is taking over each and every industry domain. Machine Learning and especially Deep Learning are the most important aspects of Artificial Intelligence that are being deployed everywhere from search engines to online movie recommendations. Taking the Intellipaat deep learning training & Artificial Intelligence Course can help professionals to build a solid career in a rising technology domain and get the best jobs in top organizations.
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