Sentiment Analysis with-without NLTK Python

Overview

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In this course, you will learn about Sentiment Analysis with/without NLTK Python. You will learn about creating project and installing Python , cleaning text for natural language processing, tokenization and stop words, algorithm for emotion and text analysis, counting emotions, emotions in a graph using Matplotlib, Twitter emotion using analysis using GetOldTweets3, installing NLTK, and positive or negative sentiments.

Syllabus

Sentiment Analysis Python - 1 - Introduction to Emotion Analysis (NLP).
Sentiment Analysis Python - 2 - Creating Project and Installing Python (NLP).
Sentiment Analysis Python - 3 - Cleaning Text for Natural Language Processing (NLP).
Sentiment Analysis Python - 4 - Tokenization and Stop Words (NLP).
Sentiment Analysis Python - 5 - Algorithm for Emotion and Text Analysis (NLP).
Sentiment Analysis Python - 6 - Counting Emotions - Natural Language Processing (NLP).
Sentiment Analysis Python - 7 - Emotions in a Graph using Matplotlib (NLP).
Sentiment Analysis Python - 8 - Twitter Emotion Analysis using GetOldTweets3.
Sentiment Analysis Python - 9 - Installing NLTK | Tokenization and Stop words.
Sentiment Analysis Python - 10 - Positive or Negative Sentiments | NLTK.