Gensim vs Google Cloud Natural Language API

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Gensim

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Google Cloud Natural Language API

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Gensim vs Google Cloud Natural Language API: What are the differences?

What is Gensim? A python library for Topic Modelling. 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.

What is Google Cloud Natural Language API? 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.

Gensim and Google Cloud Natural Language API can be primarily classified as "NLP / Sentiment Analysis" tools.

Gensim is an open source tool with 9.65K GitHub stars and 3.52K GitHub forks. Here's a link to Gensim's open source repository on GitHub.

According to the StackShare community, Google Cloud Natural Language API has a broader approval, being mentioned in 11 company stacks & 7 developers stacks; compared to Gensim, which is listed in 3 company stacks and 5 developer stacks.

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    What is 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.

    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.

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

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    What tools integrate with Gensim?
    What tools integrate with Google Cloud Natural Language API?
    What are some alternatives to Gensim and Google Cloud Natural Language API?
    NLTK
    It is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language.
    Keras
    Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
    FastText
    It is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices.
    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.
    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.
    See all alternatives