NLTK Python Tutorial for Text Mining & Sentiment Analysis

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Natural Language Processing is a technique that is widely used in the field of AI and Machine Learning. In this video, you learn about the NLTK library and its use for natural language processing and text mining tasks. You will look at Speech Recognition, Spam Filtering, and Sentiment Analysis. You will understand text extraction and NLP workflow. Using the NLTK Python library, you will perform a hands-on demo on processing brown corpus and structuring sentences.

00:00 Introduction to NLTK with python
00:36 FLow of Text Mining
02:16 Significance of Text Mining
03:40 Applications of Text Mining
06:05 NLTK Library
07:35 Reading NLTK Corpora
08:38 Text Extraction and Prepossessing - Tokenization
09:11 Text Extraction and Prepossessing - N-Grams
10:09 Text Extraction and Prepossessing - Stop word Removal
11:32 Text Extraction and Prepossessing - Stemming
12:20 Text Extraction and Prepossessing - Lemmatization
12:58 Text Extraction and Prepossessing - POS Tagging
14:00 Text Extraction and Prepossessing - Named Entity Recognition
15:04 NLP Process Work Flow
15:55 Problem Statement

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