Predicting Customer Behavior with Sentiment Analysis

Learn about how customer behavior is predicted using sentiment analysis.

We'll cover the following

Sentiment Analysis with DistilBERT
Code playground

Now let’s see how we can use sentiment analysis to predict customer behavior with other transformer models.

This lesson will run a sentiment analysis task on several Hugging Face transformer models to see which ones produce the best results and which ones we simply like the best.

We will begin this by using a Hugging Face DistilBERT model.

Sentiment Analysis with DistilBERT

Let’s run a sentiment analysis task with DistilBERT and see how we can use the result to predict customer behavior.

We will first import the pipeline module from the transformers library:

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Course Introduction

Basics of Transformers

Architecture of the Transformer Model

Fine-Tuning BERT Models

Pretraining a RoBERTa Model from Scratch

Downstream NLP Tasks with Transformers

Machine Translation with the Transformer

The Rise of Transformers with GPT-3 Engines

Applying Transformers for AI Text Summarization

Matching Tokenizers and Datasets

Transformers for NLP—Exam 1

Semantic Role Labeling with BERT-Based Transformers

Your Data Speaks: Story, Questions, and Answers

Detecting Customer Emotions to Make Predictions

Analyzing Fake News with Transformers

Interpreting Black Box Transformer Models

From NLP to Task-Agnostic Transfomer Models

The Emergence of Transformer-Driven Copilots

Transformers for NLP—Exam 2

Conclusion

Appendix

Predicting Customer Behavior with Sentiment Analysis

Sentiment Analysis with DistilBERT