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AYLIEN vs MonkeyLearn

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AYLIEN
7
27
+ 1
0
MonkeyLearn
14
44
+ 1
1
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AYLIEN vs MonkeyLearn: What are the differences?

Developers describe AYLIEN as "Text Analysis API package consisting of eight different Natural Language Processing, Information Retrieval and Machine Learning APIs". At the top of each mountain of data lies a nugget of invaluable knowledge, but it takes an incredibly powerful tool to bring that mountain to its knees. That's precisely what our Text Analysis API does. 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.

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

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Pros of AYLIEN
Pros of MonkeyLearn
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    • 1
      Easy to use

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    What is AYLIEN?

    At the top of each mountain of data lies a nugget of invaluable knowledge, but it takes an incredibly powerful tool to bring that mountain to its knees. That's precisely what our Text Analysis API does.

    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!

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    What companies use AYLIEN?
    What companies use MonkeyLearn?
    See which teams inside your own company are using AYLIEN or MonkeyLearn.
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    What tools integrate with AYLIEN?
    What tools integrate with MonkeyLearn?
      No integrations found

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      What are some alternatives to AYLIEN 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.
      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.
      See all alternatives

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