AYLIEN
AYLIEN

5
0
0
MonkeyLearn
MonkeyLearn

6
0
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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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.

Want advice about which of these to choose?Ask the StackShare community!

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        What are some alternatives to AYLIEN and MonkeyLearn?
        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.
        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.
        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.
        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.
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