Text Summarization

Step 1. Set Input Dataset

Consider a dataset containing long text entries in the form of reviews that need to be summarized. Here is a sample dataset before summarization:

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Step 2. Define the AI Prompt

The most crucial aspect of leveraging AI effectively is crafting a precise and relevant prompt. A well-defined prompt ensures the AI understands the task clearly, leading to accurate and useful outputs. This involves being specific about the desired outcome, providing necessary context, and avoiding ambiguity.

Prompt Example

Summarize the review in @Review_Text to provide a concise overview highlighting the key points.

Why This Prompt Is Good

• Clearly states the task (summarization) and the target column (@Review_Text).
• Emphasizes creating a concise overview, which helps in focusing on the most important information.
• Ensures the summary captures the essence of the original review without unnecessary details.

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Step 3. Configure the Flow Designer

1. Add the input dataset to the flow designer.
2. Select the AI Column node from the tools panel and enter the prompt.
3. Start with a row-by-row execution to fine-tune your prompt.
4. Correct your prompt, regenerate any single row, or remove all previous results.
5. Once you satisfied with the prompt, apply the AI Column Node to all rows (it will be applied only for empty cells).
6. For very large datasets that are bigger than 10,000 rows, run the flow for runtime processing over the whole dataset. Be aware that it can be costly for a large amount of data.

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Step 4. Get Final Result

Here is the dataset after using the AI Column Node to summarize the reviews: