Google Cloud Natural Language API vs Plasticity vs Thematic

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Google Cloud Natural Language API

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Plasticity

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Thematic

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Cons of Google Cloud Natural Language API
Cons of Plasticity
Cons of Thematic
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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 Plasticity?

      Today's personal assistants and conversational interfaces fail to handle variations in a user's wording or multiple requests in one sentence. We take a language-based semantic approach to handle complex dialogue.

      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 Google Cloud Natural Language API, Plasticity, and Thematic as a desired skillset
      What companies use Google Cloud Natural Language API?
      What companies use Plasticity?
      What companies use Thematic?
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        What tools integrate with Google Cloud Natural Language API?
        What tools integrate with Plasticity?
        What tools integrate with Thematic?
          No integrations found
          What are some alternatives to Google Cloud Natural Language API, Plasticity, 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.
          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