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FastText

Stacks38

Followers65

+ 1

Votes1

rasa NLU

Stacks121

Followers282

+ 1

Votes25

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rasa NLU vs FastText: What are the differences?

What is rasa NLU? 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.

What is FastText? Library for efficient text classification and representation learning. 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.

rasa NLU and FastText can be primarily classified as "NLP / Sentiment Analysis" tools.

rasa NLU is an open source tool with 6.58K GitHub stars and 2.01K GitHub forks. Here's a link to rasa NLU's open source repository on GitHub.

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Pros of FastText

Pros of rasa NLU

1
Simple

9
Open Source
6
Docker Image
6
Self Hosted
3
Comes with rasa_core
1
Enterprise Ready

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Cons of FastText

Cons of rasa NLU

1
No step by step API support
1
No in-built performance plotting facility or to get it
1
No step by step API access

4
No interface provided
4
Wdfsdf

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- No public GitHub repository available -

What is 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.

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.

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Jobs that mention FastText and rasa NLU as a desired skillset

Engineering Manager, API Client

Postman

San Francisco, United States

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+12

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What companies use FastText?

What companies use rasa NLU?

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What tools integrate with FastText?

What tools integrate with rasa NLU?

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What are some alternatives to FastText and rasa NLU?

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.

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.

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.

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.

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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FastText vs rasa NLU

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Pros of FastText

Pros of rasa NLU

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Cons of FastText

Cons of rasa NLU

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What is FastText?

What is rasa NLU?

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What companies use FastText?

What companies use rasa NLU?

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What tools integrate with FastText?

What tools integrate with rasa NLU?

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