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Gensim

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Thematic

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Gensim vs Thematic: What are the differences?

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; Thematic: Customer Feedback Analysis via NLP. The fastest and most reliable way for finding deep insights in NPS, CSAT, user research surveys and chat logs.

Gensim and Thematic belong to "NLP / Sentiment Analysis" category of the tech stack.

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.

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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 Thematic?

The fastest and most reliable way for finding deep insights in NPS, CSAT, user research surveys and chat logs.

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Jobs that mention Gensim and Thematic as a desired skillset
CBRE
United Kingdom of Great Britain and Northern Ireland England London
CBRE
India Telangana Hyderabad
CBRE
Australia New South Wales Sydney
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    What tools integrate with Gensim?
    What tools integrate with Thematic?
    What are some alternatives to Gensim and Thematic?
    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.
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