AlchemyAPI vs Google Cloud Natural Language API vs MonkeyLearn

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

AlchemyAPI

13
27
+ 1
0
Google Cloud Natural Language API

37
106
+ 1
0
MonkeyLearn

12
37
+ 1
1
Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More
Pros of AlchemyAPI
Pros of Google Cloud Natural Language API
Pros of MonkeyLearn
    Be the first to leave a pro
      Be the first to leave a pro
      • 1
        Easy to use

      Sign up to add or upvote prosMake informed product decisions

      Cons of AlchemyAPI
      Cons of Google Cloud Natural Language API
      Cons of MonkeyLearn
        Be the first to leave a con
        • 2
          Multi-lingual
          Be the first to leave a con

          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 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.

          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!

          What companies use AlchemyAPI?
          What companies use Google Cloud Natural Language API?
          What companies use MonkeyLearn?

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

          What tools integrate with AlchemyAPI?
          What tools integrate with Google Cloud Natural Language API?
          What tools integrate with MonkeyLearn?

          Sign up to get full access to all the tool integrationsMake informed product decisions

          What are some alternatives to AlchemyAPI, Google Cloud Natural Language API, 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.
          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.
          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.
          See all alternatives