Label Sleuth vs Wit
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Wit enables developers to add a modern natural language interface to their app or device with minimal effort. Precisely, Wit turns sentences into structured information that the app can use. Developers don’t need to worry about Natural Language Processing algorithms, configuration data, performance and tuning. Wit encapsulates all this and lets you focus on the core features of your apps and devices. | 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! |
Voice-enabled Android and iOS apps;Rasberry Pi based home automation commanded by speech;Google Glass apps accepting voice commands;Robots and drones dialog interfaces (ROS);SMS-based information or remote control services;IM-based information or remote control services;"Quick add" features a la Google Calendar (replacing a form with free text input);Natural Language querying a la Facebook Graph Search (turning a sentence into a database query);Personal Assistants a la Apple’s Siri | Extensible architecture;
Open source;
No AI knowledge needed;
From task definition to working model in just a few hours |
Statistics | |
GitHub Stars - | GitHub Stars 269 |
GitHub Forks - | GitHub Forks 41 |
Stacks 12 | Stacks 0 |
Followers 57 | Followers 3 |
Votes 0 | Votes 0 |
Integrations | |
| No integrations available | |
What are some alternatives to Wit, Label Sleuth?
rasa NLU
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.
SpaCy
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.
Bubble
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.
Speechly
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.
Sheety
Power websites, apps, or whatever you like, all from a spreadsheet. Changes to your spreadsheet update your API in realtime.
Draftbit
Create, customize, launch, and iterate on your mobile app, all from your browser. Source code included.
MonkeyLearn
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.
Jina
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.
Sentence Transformers
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.
FastText
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.
