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Zip Code Extraction

Extract zip codes from addresses using AI.

Write an email subject

Generate effective email subject lines based on the content of the email.

Similarity Scoring

Add a similarity score comparing text and reference entries

Names Parsing

Extract first or family names from a full name column.

Text Summarization

Summarize long text entries into concise summaries.

Text Translation

Automatically translate text from one language to another using AI.

Standardizing City Names

Standardize city names for consistency in a dataset.

Personalized Emails

Generate personalized email content based on user-specific data.

Identify CRMs from Tech Stack

Identify the CRM technologies a company uses from its tech stack to optimize target lists in sales.

LinkedIn Connection Message

Craft a personalized LinkedIn connection message using AI.

Language Detection

Detect the language of a text entry and add it as a new column

Domain Category Detection

Identify and categorize the domain type (e.g., commercial, educational) from an email address.

Correcting Grammar Mistakes

Correct spelling and grammar mistakes in text

Date Formatting

Standardize dates into a consistent format.

Changing Text Tone

Change the tone of the text in a given style

Create Product Descriptions

Generate engaging and detailed product descriptions with AI.

Address Standardization

Standardize address formats for consistency and accuracy in datasets.

Category Tagging

Automatically categorize text entries into predefined tags using AI.

Text Summarization

Extracting key information from long texts can be challenging. Using AI-driven summarization, you can quickly distill lengthy content into concise, relevant summaries.

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AI Powered

Media & Content

Sales

Practical Applications

Business Reports

Summarizing long business reports for quick review by executives.
Creating concise summaries of financial statements for stakeholders.

Education

Summarizing lengthy academic articles for easier understanding by students.
Creating brief overviews of research papers for academic presentations.

Content Creation

Summarizing blog posts or articles for social media sharing.
Creating brief descriptions of long video transcripts for content management

Step-by-step instruction

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:

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.

Step 3. Configure the Flow Designer

Add the input dataset to the flow designer.
Select the AI Column node from the tools panel and enter the prompt.
Start with a row-by-row execution to fine-tune your prompt.
Correct your prompt, regenerate any single row, or remove all previous results.
Once you satisfied with the prompt, apply the AI Column Node to all rows (it will be applied only for empty cells).
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.

Step 4. Get Final Result

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