对客户评论和推文进行情绪分析
上次更新时间：2024-11-29
课程售价: 2.9 元
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课程内容
- 1 - Introduction to the Course (免费)
- 2 - Table of Contents (免费)
- 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
课程内容
20个讲座
- 1 - Introduction to the Course (免费)
- 2 - Table of Contents (免费)
- 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