Using ChatGPT and GPT-4 for Sentiment Analysis

Using ChatGPT and GPT-4 for Sentiment Analysis

Hello everyone and welcome to this lesson. In this lesson, we will learn how to leverage ChatGPT and GPT-4 to perform sentiment analysis.

So, what do we mean by sentiment analysis? Sentiment analysis is a natural language processing technique used to identify and extract the emotional tone, attitude, and opinion expressed in a piece of text. Companies often perform sentiment analysis on customer reviews to understand customer satisfaction and gather insights for product improvement.

Traditionally, companies would collect customer reviews and train an AI/ML model to perform sentiment analysis. However, with the advancements in AI, we now have ChatGPT and GPT-4, which can perform sentiment analysis without the need for retraining models.

To use ChatGPT for customer reviews analysis, you can follow these steps:

  1. Collect the customer reviews you want to analyze and organize them in a structured format, such as a CSV or Excel file.
  2. Train an AI/ML model using the collected data to classify the sentiment of the reviews.
  3. Use ChatGPT or GPT-4 to analyze customer reviews by providing the text you want to analyze.

You can also use ChatGPT to fix text before performing sentiment analysis. For example, if you have a customer review with spelling mistakes or incorrect grammar, you can ask ChatGPT to fix the text for you.

In conclusion, sentiment analysis is a powerful tool for understanding customer sentiment and improving products or services. With the advancements in AI, ChatGPT and GPT-4 make it easier than ever to perform sentiment analysis on customer reviews.

I hope you found this lesson informative. See you in the next one!

Leveraging ChatGPT for Sentiment Analysis
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Leveraging ChatGPT for Sentiment Analysis

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