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AlchemyAPI

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27
+ 1
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prose

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AlchemyAPI vs prose: What are the differences?

Developers describe AlchemyAPI as "Text and image analysis APIs for processing all unstructured data". AlchemyLanguageTM is the world’s most popular natural language processing service. AlchemyVisionTM is the world’s first computer vision service for understanding complex scenes. AlchemyAPI is used by more than 40,000 developers across 36 countries and a wide variety of industries to process over 3 billion texts and images every month. On the other hand, prose is detailed as "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.

AlchemyAPI and prose belong to "NLP / Sentiment Analysis" category of the tech stack.

Some of the features offered by AlchemyAPI are:

  • Entity extraction
  • sentiment analysis
  • keyword extraction

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

  • Tokenizing
  • Segmenting
  • Tagging, NER

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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- No public GitHub repository available -

What is AlchemyAPI?

AlchemyLanguageTM is the world’s most popular natural language processing service. AlchemyVisionTM is the world’s first computer vision service for understanding complex scenes. AlchemyAPI is used by more than 40,000 developers across 36 countries and a wide variety of industries to process over 3 billion texts and images every month.

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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    What tools integrate with AlchemyAPI?
    What tools integrate with prose?
    What are some alternatives to AlchemyAPI 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.
    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.
    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.
    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.
    Google Cloud Natural Language API
    You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage.
    See all alternatives
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    How much does AlchemyAPI cost?
    How much does prose cost?
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