rasa NLU

65
145
+ 1
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Swiftype

189
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+ 1
11
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rasa NLU vs Swiftype: What are the differences?

Developers describe rasa NLU as "Open source, drop-in replacement for NLP tools like wit.ai". 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. On the other hand, Swiftype is detailed as "Powerful and scalable search for any application or website". Swiftype is the easiest way to add great search to your website or mobile application.

rasa NLU belongs to "NLP / Sentiment Analysis" category of the tech stack, while Swiftype can be primarily classified under "Search as a Service".

Some of the features offered by rasa NLU are:

  • open source
  • python
  • NLP

On the other hand, Swiftype provides the following key features:

  • Quick Start- Install by pasting a JavaScript snippet in your page.
  • Autocomplete- our search engines come with autocomplete built-in
  • Detailed Analytics- Our built-in search analytics give you real-time insight into what your users are looking for.

rasa NLU is an open source tool with 5.77K GitHub stars and 1.7K GitHub forks. Here's a link to rasa NLU's open source repository on GitHub.

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What is 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.

What is Swiftype?

Swiftype is the easiest way to add great search to your website or mobile application.
What companies use rasa NLU?
What companies use Swiftype?

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What tools integrate with rasa NLU?
What tools integrate with Swiftype?
What are some alternatives to rasa NLU and Swiftype?
Dialogflow
Give users new ways to interact with your product by building engaging voice and text-based conversational apps.
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.
NLTK
It is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language.
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
Amazon Comprehend
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications.
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