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AlchemyAPI

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MonkeyLearn

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AlchemyAPI vs MonkeyLearn: 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, MonkeyLearn is detailed as "Text Analysis with Machine Learning". Turn emails, tweets, surveys or any text into actionable data. Automate business workflows and saveExtract and classify information from text. Integrate with your App within minutes. Get started for free.

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

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    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 MonkeyLearn?

    Turn emails, tweets, surveys or any text into actionable data. Automate business workflows and saveExtract and classify information from text. Integrate with your App within minutes. Get started for free.

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

    Jobs that mention AlchemyAPI and MonkeyLearn as a desired skillset
    CBRE
    United States of America California Sunnyvale
    CBRE
    Australia New South Wales Sydney
    CBRE
    India Telangana Hyderabad
    What companies use AlchemyAPI?
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    What tools integrate with AlchemyAPI?
    What tools integrate with MonkeyLearn?

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    What are some alternatives to AlchemyAPI and MonkeyLearn?
    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.
    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.
    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.
    See all alternatives