Emotion & Sentiment Analysis with/without NLTK using Python

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)

Analyze Emotions ( happy, jealousy, etc ) using NLP Python & Text Mining. Includes twitter sentiment analysis with NLTK

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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

Rating: 4.2

Level: All Levels

Duration: 1 hour

Instructor: Attreya Bhatt