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Emotion & Sentiment Analysis with/without NLTK using Python
Analyze Emotions ( happy, jealousy, etc ) using NLP Python & Text Mining. Includes twitter sentiment analysis with NLTK
This Course Includes
udemy
4.3 (70 reviews )
1h 12m 
english
Online - Self Paced
professional certificate
Udemy
About Emotion & Sentiment Analysis with/without NLTK using Python
Welcome to this course on
Sentiment and Emotion/Mood
analysis using Python Have you ever thought about how
Politicians
use Sentiment Analysis? They use to find which topics to talk about in public. A topic can have different sentiments (positive or negative) and varying emotions associated with it. Politicians analyze tweets/internet content to find out these topics and use them to find holes in the opposition. How
Google Maps
classifies millions of locations like Restaurants by analyzing the Reviews How
Amazon
shows products which evoke Positive Sentiments/Emotions for the buyers How
KFC
use it to do Market Research and Competitor Analysis If you want to know Technology running behind, this is the Sentiment Analysis/Mood Analysis course which is going to use
Natural Language Processing ( NLP ) and Text Mining
to analyze different moods in a text ( example - Sadness, Excitement, Loneliness etc)
What You Will Learn?
- Find out Emotions in a text ( happiness, sadness, jealousy etc. ) .
- Positive and Negative - Sentiment Analysis .
- Scrap Tweets from Twitter and find out the emotion and sentiment of those tweets .
- Learn Natural Language Processing Techniques .
- Cleaning Text and Data for Language Processing ( NLP ) .
- Learn to create graphs using Matplotlib and plot the emotions graph .
- Learn NLTK for Sentiment Analysis and Natural Language Processing.