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rasa NLU

Stacks116

Followers267

+ 1

Votes24

SpaCy

Stacks209

Followers277

+ 1

Votes14

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rasa NLU vs SpaCy: 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, SpaCy is detailed as "Industrial-Strength Natural Language Processing in Python". 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.

rasa NLU and SpaCy can be categorized as "NLP / Sentiment Analysis" tools.

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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Pros of rasa NLU

Pros of SpaCy

8
Open Source
6
Docker Image
6
Self Hosted
3
Comes with rasa_core
1
Enterprise Ready

12
Speed
2
No vendor lock-in

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Cons of rasa NLU

Cons of SpaCy

4
No interface provided
4
Wdfsdf

1
Requires creating a training set and managing training

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- No public GitHub repository available -

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 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.

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Jobs that mention rasa NLU and SpaCy as a desired skillset

Procurement Manager

CBRE

United States of America California Sunnyvale

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What companies use rasa NLU?

What companies use SpaCy?

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What tools integrate with rasa NLU?

What tools integrate with SpaCy?

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What are some alternatives to rasa NLU and SpaCy?

Dialogflow

Give users new ways to interact with your product by building engaging voice and text-based conversational apps.

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.

Transformers

It provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch.

Gensim

It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.

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rasa NLU vs SpaCy

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Pros of rasa NLU

Pros of SpaCy

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Cons of rasa NLU

Cons of SpaCy

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What is rasa NLU?

What is SpaCy?

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What companies use rasa NLU?

What companies use SpaCy?

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What tools integrate with rasa NLU?

What tools integrate with SpaCy?

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