Tabletop.js vs rasa NLU
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Detailed Comparison
Tabletop.js easily integrates Google Spreadsheets with Backbone.js, Handlebars, and anything else that is hip and cool. It will also help you make new friends and play jazz piano. | 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. |
| - | Open source; NLP; Machine learning |
Statistics | |
GitHub Stars 3.8K | GitHub Stars - |
GitHub Forks 444 | GitHub Forks - |
Stacks 2 | Stacks 120 |
Followers 33 | Followers 282 |
Votes 0 | Votes 25 |
Pros & Cons | |
No community feedback yet | Pros
Cons
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Integrations | |
What are some alternatives to Tabletop.js, rasa NLU?
Airtable
Working with Airtable is as fast and easy as editing a spreadsheet. But only Airtable is backed by the power of a full database, giving you rich features far beyond what a spreadsheet can offer.
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.
Sheetsu
Use spreadsheet as your database. Give data to your users the nice way, directly from the tool you know. Without bothering webdeveloper.
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.
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.
CoreNLP
It provides a set of natural language analysis tools written in Java. It can take raw human language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize and interpret dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases or word dependencies, and indicate which noun phrases refer to the same entities.
