Extract categories in data

This AI tool is designed to extract main categories, themes, and topics from text data contained in CSV files. It leverages advanced AI algorithms to analyze text and suggest a list of key themes, making it an invaluable resource for anyone needing to categorize large volumes of textual data efficiently. Whether you're conducting research, analyzing customer feedback, or organizing survey responses, this tool can streamline the process and provide insightful categorizations.

Overview

This AI tool is designed to extract main categories, themes, and topics from text data contained in CSV files. It leverages advanced AI algorithms to analyze text and suggest a list of key themes, making it an invaluable resource for anyone needing to categorize large volumes of textual data efficiently. Whether you're conducting research, analyzing customer feedback, or organizing survey responses, this tool can streamline the process and provide insightful categorizations.

Who this tool is for

Researchers: If you are a researcher dealing with large datasets of textual information, this tool can help you identify the main themes and categories within your data. By uploading your CSV file and specifying the column containing the text, you can quickly extract meaningful insights without manually sifting through each entry. This allows you to focus on interpreting the data rather than organizing it.

Customer Service Managers: As a customer service manager, you often need to analyze customer feedback to improve service quality. This tool can help you categorize feedback into themes such as "Service Quality," "Pricing," and "Product Features." By doing so, you can easily identify areas that need improvement and track recurring issues, enabling you to make data-driven decisions to enhance customer satisfaction.

Marketing Analysts: For marketing analysts, understanding customer sentiment and trends is crucial. This tool allows you to categorize customer reviews, social media comments, and survey responses into relevant themes. By doing so, you can gain insights into customer preferences, identify emerging trends, and tailor your marketing strategies accordingly.

How the tool works

This tool operates through a series of steps designed to transform your CSV file into a list of categorized themes and topics. Here’s a detailed breakdown of how it works:

  1. Upload Your CSV FileYou start by uploading your CSV file containing the text data you want to categorize. The tool requires you to specify the exact column name that contains the text for categorization. This ensures that the tool knows which part of the data to analyze.

  2. Specify the Row RangeNext, you define the range of rows you want the tool to analyze. This is done by specifying the starting and ending row numbers. By default, the tool looks at the first 50 rows, but you can adjust this range based on your dataset's size and your specific needs.

  3. Set Parameters for CategorizationYou can customize the categorization process by setting parameters such as the maximum word count per category/theme/topic and the total number of categories/themes/topics to extract. Additionally, you can specify the objective or focus for categorization, such as "Customer service" or "Things that went well."

  4. Provide Examples (Optional)Although optional, providing examples of category/theme/topic extraction can enhance the tool's accuracy. You can input sample texts and their corresponding topics to guide the AI in understanding your categorization preferences.

  5. Data Transformation and AnalysisThe tool then processes the uploaded CSV file, transforming it into a format suitable for analysis. It extracts the specified text data, cleans it, and prepares it for categorization. This involves removing any irrelevant entries and ensuring the text is ready for theme extraction.

  6. AI-Powered Theme ExtractionUsing advanced AI algorithms, the tool analyzes the prepared text data to identify the main categories, themes, and topics. It generates a list of these themes based on the parameters you set earlier, ensuring that the output is concise and relevant.

  7. Output the ResultsFinally, the tool outputs the extracted themes and topics in a JSON format. This format is easy to parse and can be integrated into other applications or used for further analysis. The results provide a clear overview of the main themes within your text data, allowing you to draw meaningful insights.

Benefits

  • Efficient categorization of large text datasets
  • Customizable parameters for tailored analysis
  • AI-driven accuracy and consistency
  • Time-saving by automating the categorization process
  • Easy integration with other applications through JSON output

Additional use-cases

  • Analyzing open-ended survey responses to identify common themes.
  • Categorizing customer reviews to understand product strengths and weaknesses.
  • Organizing social media comments to gauge public sentiment on a topic.
  • Extracting key themes from academic papers for literature reviews.
  • Identifying recurring issues in customer support tickets.

Build your AI workforce today!

Easily deploy and train your AI workers. Grow your business, not your headcount.
Free plan
No card required