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

AlchemyAPI

16
31
+ 1
0
Amazon Comprehend

45
116
+ 1
0
Add tool

AlchemyAPI vs Amazon Comprehend: What are the differences?

AlchemyAPI: 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; Amazon Comprehend: Discover insights and relationships in text. 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.

AlchemyAPI and Amazon Comprehend 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, Amazon Comprehend provides the following key features:

  • Keyphrase extraction
  • Sentiment analysis
  • Entity recognition
Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More
Cons of AlchemyAPI
Cons of Amazon Comprehend
    Be the first to leave a con
    • 2
      Multi-lingual

    Sign up to add or upvote consMake informed product decisions

    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 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.

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

    What companies use AlchemyAPI?
    What companies use Amazon Comprehend?
    See which teams inside your own company are using AlchemyAPI or Amazon Comprehend.
    Sign up for Private StackShareLearn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with AlchemyAPI?
    What tools integrate with Amazon Comprehend?
    What are some alternatives to AlchemyAPI and Amazon Comprehend?
    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.
    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.
    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.
    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