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At the top of each mountain of data lies a nugget of invaluable knowledge, but it takes an incredibly powerful tool to bring that mountain to its knees. That's precisely what our Text Analysis API does. | It is an open-source no-code system for text annotation and building text classifiers. With this, domain experts can quickly create custom Natural Language Processing (NLP) models by themselves, with no dependency on NLP experts. No AI knowledge needed; from task definition to working model in just a few hours! |
The first step in understanding a document is to strip it of unnecessary elements. Article Extraction strips HTML documents of ads, navigation elements, and anything that gets in the way of understanding the text.;Why use 100 words when 10 will do? Summarization extracts key sentences from a text, leaving only the most important concepts.;Because a text includes more than just concepts, Entity Extraction lists organizations, phone numbers, currency amounts, even individuals mentioned in a text.;Language Detection quickly and accurately ensures that you and the text in question are, literally, speaking the same language. | Extensible architecture;
Open source;
No AI knowledge needed;
From task definition to working model in just a few hours |
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GitHub Stars - | GitHub Stars 269 |
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rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.

It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.

It is a visual programming language that lets you build a fully-functional web app without writing code. Users have built marketplaces, CRM tools, social networks. Engineers can focus on new features and add them as plugins with code, while business people can focus on the customer-facing product.

It can be used to complement any regular touch user interface with a real time voice user interface. It offers real time feedback for faster and more intuitive experience that enables end user to recover from possible errors quickly and with no interruptions.

Power websites, apps, or whatever you like, all from a spreadsheet. Changes to your spreadsheet update your API in realtime.

Create, customize, launch, and iterate on your mobile app, all from your browser. Source code included.

Turn emails, tweets, surveys or any text into actionable data. Automate business workflows and saveExtract and classify information from text. Integrate with your App within minutes. Get started for free.

It is geared towards building search systems for any kind of data, including text, images, audio, video and many more. With the modular design & multi-layer abstraction, you can leverage the efficient patterns to build the system by parts, or chaining them into a Flow for an end-to-end experience.

It provides an easy method to compute dense vector representations for sentences, paragraphs, and images. The models are based on transformer networks like BERT / RoBERTa / XLM-RoBERTa etc. and achieve state-of-the-art performance in various tasks.

It is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices.