Question: Can you recommend a tool that allows me to build custom NLP models for text classification and tagging without needing to be a coding expert?

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Metatext

If you're looking for a tool to build custom NLP models for text classification and tagging without having to be a coding whiz, Metatext is a good option. The platform lets you build models using large language models (LLMs) to automate processes like text classification, tagging and generation. It supports multiple languages and offers tools for building datasets, fine-tuning models and integrating with other systems. Metatext is easy to use and offers several pricing plans, including a Starter plan at $35 per month.

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NuMind

Another good option is NuMind, which lets you build text processing models without programming. It's good for a broad range of tasks like sentiment analysis, entity recognition, text classification and content moderation. NuMind offers no-code development, multilingual support and a lightweight, cost-effective option that runs on CPU. It offers several pricing plans, including a free Hobbyist plan for personal projects.

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MonkeyLearn

If you're looking for a more specialized text analytics tool, check out MonkeyLearn. This no-code tool gives you immediate insights into your data with customizable charts and other visualizations. It comes with pre-trained and custom machine learning models for text classification and data extraction, and it integrates with many apps and business intelligence tools. MonkeyLearn offers a free account so you can try its features, and it's a good option for those who want a more general-purpose tool.

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Lettria

Last, Lettria marries Large Language Models with symbolic AI technology for processing and extracting insights from text data. It offers tools for text preprocessing, mining, classification and prompt engineering. Lettria offers privacy and data security with on-premise deployment, so it's good for organizations that need maximum data security. It's good for building knowledge graphs and enriching text understanding for better decision-making.

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