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MonkeyLearn

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42
+ 1
1
Thematic

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MonkeyLearn vs Thematic: What are the differences?

What is MonkeyLearn? Text Analysis with Machine Learning. 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 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.

MonkeyLearn and Thematic can be categorized as "NLP / Sentiment Analysis" tools.

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Pros of MonkeyLearn
Pros of Thematic
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    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 Thematic?

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

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

    Jobs that mention MonkeyLearn 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
    What companies use MonkeyLearn?
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      What tools integrate with MonkeyLearn?
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      What are some alternatives to MonkeyLearn and Thematic?
      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