对客户评论和推文进行情绪分析
Performing Sentiment Analysis On Customer Reviews and Tweets
- 1 - Introduction to the Course
- 2 - Table of Contents
- 3 - Whom This Course is Intended for
- 4 - Tools IDE and Datasets
- 5 - Introduction to Sentiment Analysis
- 6 - Sentiment Analysis Case Study
- 7 - Factors That Contribute to Bias in Customer Review
- 8 - Setting Up Google Colab IDE
- 9 - Finding Downloading Datasets From Kaggle
- 10 - Uploading Dataset to Google Colab
- 11 - Quick Overview of Hotel Review Dataset
- 12 - Cleaning Dataset by Removing Missing Values Duplicates
- 13 - Finding Correlation Between Customer Rating and Sentiment
- 14 - Identifying Keywords That are Frequently Used in Positive Negative Review
- 15 - Analyzing Emotional Aspect of Customer Review with EmoLex
- 16 - Performing Sentiment Analysis on Hotel Review Data with TextBlob
- 17 - Analyzing Emotional Aspect of Tweets with NRCLex
- 19 - Predicting Tweet Sentiment with BERT
- 20 - Predicting Tweet Sentiment with Multinomial Naive Bayes
- 21 - Conclusion Summary