Question: How can I extract key information from unstructured text data without needing to be a coding expert?

If you want to get information out of unstructured text data without having to be a programmer, Lettria is a good option. The no-code AI platform marries Large Language Models (LLMs) with symbolic AI to process and extract insights from text data. It includes Lettria Knowledge Studio and NLP Studio tools to create custom NLP models, preprocess text, mine text, classify it and perform prompt engineering. It's designed to be easy to use and to keep your data private by running on private or public clouds.

Another option is DATAKU, an industrial-strength system for extracting and transforming data. It uses LLMs to turn unstructured text and documents into structured data at scale. DATAKU has features like Document Insights and Text Intelligence that are geared for tasks like extracting resumes, analyzing customer data and analyzing financial documents. The service can be accessed through a three-step process, and there are several pricing tiers depending on your needs.

If you're looking for a more general purpose AI development platform, check out Dataloop. It combines data curation, model management, pipeline orchestration and human feedback to speed up AI application development. Dataloop can process unstructured data from a variety of sources, including images and video, and has strong security controls. It's designed to help you collaborate and speed up development, with tools like automated preprocessing and human feedback integration.

Last, MonkeyLearn is a no-code text analytics tool that makes it easier to clean, label and visualize customer feedback with AI. It offers customizable charts and visualizations, pre-built and custom machine learning models for text classification, and integrates with lots of apps like Zendesk and Google Sheets. MonkeyLearn lets you automate text analysis and take control of your data, making it a good tool for business operations.