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Plasticity

Stacks3

Followers10

+ 1

Votes0

prose

Stacks4

Followers7

+ 1

Votes0

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Plasticity vs prose: What are the differences?

Plasticity: APIs for human-like natural language interfaces. Today's personal assistants and conversational interfaces fail to handle variations in a user's wording or multiple requests in one sentence. We take a language-based semantic approach to handle complex dialogue; prose: A Golang library for text processing. prose is a natural language processing library (English only, at the moment) in pure Go. It supports tokenization, segmentation, part-of-speech tagging, and named-entity extraction.

Plasticity and prose can be primarily classified as "NLP / Sentiment Analysis" tools.

prose is an open source tool with 2.02K GitHub stars and 95 GitHub forks. Here's a link to prose's open source repository on GitHub.

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What is Plasticity?

Today's personal assistants and conversational interfaces fail to handle variations in a user's wording or multiple requests in one sentence. We take a language-based semantic approach to handle complex dialogue.

What is prose?

prose is a natural language processing library (English only, at the moment) in pure Go. It supports tokenization, segmentation, part-of-speech tagging, and named-entity extraction.

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Jobs that mention Plasticity and prose as a desired skillset

Engineering Manager, API Client

Postman

San Francisco, United States

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+12

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Golang

What are some alternatives to Plasticity and prose?

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.

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.

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.

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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Plasticity vs prose

Need advice about which tool to choose?Ask the StackShare community!

What is Plasticity?

What is prose?

Need advice about which tool to choose?Ask the StackShare community!

What companies use Plasticity?

What companies use prose?

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What tools integrate with Plasticity?

What tools integrate with prose?

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