Google Cloud Natural Language API vs TensorFlow

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Google Cloud Natural Language API

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109
+ 1
0
TensorFlow

2.7K
2.9K
+ 1
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Google Cloud Natural Language API vs TensorFlow: What are the differences?

Developers describe Google Cloud Natural Language API as "Derive insights from unstructured text using Google machine learning". 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. On the other hand, TensorFlow is detailed as "Open Source Software Library for Machine Intelligence". TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

Google Cloud Natural Language API belongs to "NLP / Sentiment Analysis" category of the tech stack, while TensorFlow can be primarily classified under "Machine Learning Tools".

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Pros of Google Cloud Natural Language API
Pros of TensorFlow
    Be the first to leave a pro
    • 25
      High Performance
    • 16
      Connect Research and Production
    • 13
      Deep Flexibility
    • 9
      True Portability
    • 9
      Auto-Differentiation
    • 2
      Easy to use
    • 2
      High level abstraction
    • 1
      Powerful

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    Cons of Google Cloud Natural Language API
    Cons of TensorFlow
    • 2
      Multi-lingual
    • 9
      Hard
    • 6
      Hard to debug
    • 1
      Documentation not very helpful

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    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 TensorFlow?

    TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

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    What companies use Google Cloud Natural Language API?
    What companies use TensorFlow?
    See which teams inside your own company are using Google Cloud Natural Language API or TensorFlow.
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    What tools integrate with Google Cloud Natural Language API?
    What tools integrate with TensorFlow?

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    What are some alternatives to Google Cloud Natural Language API and TensorFlow?
    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