Emotion & Sentiment Analysis with/without NLTK using Python
Emotion & Sentiment Analysis with/without NLTK using Python, available at $49.99, has an average rating of 4.85, with 10 lectures, based on 65 reviews, and has 264 subscribers.
You will learn about 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 This course is ideal for individuals who are Developers wanting to analyze text and extract meaning & information from it. or Beginner Python Developers who are curious about Natural Language Processing ( NLP ) or Anyone interested in learning about Sentiment and Emotion/Mood Analysis It is particularly useful for Developers wanting to analyze text and extract meaning & information from it. or Beginner Python Developers who are curious about Natural Language Processing ( NLP ) or Anyone interested in learning about Sentiment and Emotion/Mood Analysis.
Enroll now: Emotion & Sentiment Analysis with/without NLTK using Python
Summary
Title: Emotion & Sentiment Analysis with/without NLTK using Python
Price: $49.99
Average Rating: 4.85
Number of Lectures: 10
Number of Published Lectures: 10
Number of Curriculum Items: 10
Number of Published Curriculum Objects: 10
Original Price: $24.99
Quality Status: approved
Status: Live
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
Who Should Attend
- Developers wanting to analyze text and extract meaning & information from it.
- Beginner Python Developers who are curious about Natural Language Processing ( NLP )
- Anyone interested in learning about Sentiment and Emotion/Mood Analysis
Target Audiences
- Developers wanting to analyze text and extract meaning & information from it.
- Beginner Python Developers who are curious about Natural Language Processing ( NLP )
- Anyone interested in learning about Sentiment and Emotion/Mood Analysis
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)
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Installing Python and Pycharm
Lecture 3: Cleaning Text for Natural Language Processing (NLP)
Chapter 2: Sentiment/Emotion Analysis
Lecture 1: Tokenization and Stop Words (NLP)
Lecture 2: The Emotion Algorithm
Lecture 3: Classifying Emotions
Lecture 4: Display Emotions in a Graph using Matplotlib
Chapter 3: Sentiment Analysis using NLTK
Lecture 1: Twitter Sentiment Analysis
Lecture 2: Installing NLTK | Tokenization and Stop words
Lecture 3: Positive or Negative Sentiments | NLTK
Instructors
-
Attreya Bhatt
Coding Entrepreneur & Teacher – 13000+ Students
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 1 votes
- 3 stars: 10 votes
- 4 stars: 23 votes
- 5 stars: 30 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
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