Google Cloud Natural Language API vs MonkeyLearn vs prose

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

Google Cloud Natural Language API

46
130
+ 1
0
MonkeyLearn

15
44
+ 1
1
prose

4
7
+ 1
0
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of Google Cloud Natural Language API
Pros of MonkeyLearn
Pros of prose
    Be the first to leave a pro
    • 1
      Easy to use
      Be the first to leave a pro

      Sign up to add or upvote prosMake informed product decisions

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

          Sign up to add or upvote consMake informed product decisions

          - No public GitHub repository available -
          - No public GitHub repository available -

          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.

          What is prose?

          prose is a natural language processing library (English only, at the moment) in pure Go. It supports tokenization, segmentation, part-of-speech tagging, and named-entity extraction.

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

          Jobs that mention Google Cloud Natural Language API, MonkeyLearn, and prose as a desired skillset
          What companies use Google Cloud Natural Language API?
          What companies use MonkeyLearn?
          What companies use prose?
            No companies found

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

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

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

            What are some alternatives to Google Cloud Natural Language API, MonkeyLearn, and prose?
            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