Performing Sentiment Analysis On Customer Reviews & Tweets
https://DevCourseWeb.com
Published 11/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.35 GB | Duration: 2h 58m
Learn how to perform sentiment analysis and emotion detection using TextBlob, NLTK, BERT, VADER, NRCLex, MultinomialNB
What you'll learn
Learn how to perform sentiment analysis on customer review data using TextBlob
Learn how to analyze emotional aspect of customer reviews using EmoLex
Learn how to perform sentiment analysis on twitter post data using VADER
Learn how to analyze emotional aspect of tweets using NRCLex
Learn how to predict sentiment of a tweet using BERT
Learn how to predict sentiment of a tweet using Multinomial Naive Bayes
Learn how to identify keywords that are frequently used in positive and negative customer reviews
Learn how to find correlation between customer ratings and sentiment
Case study: applying sentiment analysis on customer review dataset and predict if a review is more likely to be positive, negative or neutral
Learn factors that contribute to bias in customer reviews
Learn how to clean dataset by removing missing rows and duplicate values
Learn the basic fundamentals of sentiment analysis and its practical applications
Requirements
No previous experience in sentiment analysis is required
Basic knowledge in Python and NLP