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Please refer to the doc file for the project description. The pptx file shows the template of presentation and excel file includes the text data to review.

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Answered 3 days After Oct 10, 2024

Solution

Bhaumik answered on Oct 14 2024
3 Votes
Report File
I. Business Context, Problem Overview, and Solution Approach
Customer input is very important in today's cutthroat business environment as it helps shape products and services. Businesses deal with an enormous amount of feedback in the form of reviews, ratings, and comments, especially in customer-focused industries like restaurants. In addition to taking a lot of time, manually analyzing this data to extract insights, pinpoint important areas for development, and quickly address consumer problems is prone to human e
or. Enhancing response time, customer happiness, and retention requires automating sentiment analysis and review categorization.
The main goal of this project is to utilize Prompt Engineering to analyze restaurant reviews by classifying user comments, analyzing sentiment, making recommendations for actions, and utilizing generative artificial intelligence (AI) to automatically generate answers.
II. Prompt and the Structure of the Prompt
Generative AI, such as ChatGPT, is used in the answer to:
· Sort reviews according to pertinent categories, such as price, atmosphere, meal quality, or service.
· Examine the review's attitude (neutral, negative, or favorable).
· To enhance the client experience, make recommendations for activities based on the category and emotion.
· Provide individualized replies for the clients.
Creating structured prompts for AI to provide these outputs and utilizing various prompting strategies (such as zero-shot and few-shot learning) to assess and improve the AI's performance comprise the solution approach.
III. Exploring Different Prompting Techniques
Structure of the Prompt:...
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