Use Cases

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At Bitext, we are specialists at enhancing the understanding between humans and machines. Bitext offers you a variety of services like Lemmatization, Parsing, Sentiment, Entities or POS Tagging to solve all your NLP requests. We provide our results with over 90% accuracy.

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Technology & Services

Our team of linguists can fully customize our platform to fit your business needs.

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Linguistic Approach

Our technology really understands sentence structure

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Online Services

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highest accuracy

Highest Accuracy

Precision rates of more than 90% can be achieved

Why choose our text analytics engine and services?

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CX Customer Experience

The SaaS version of our text analytics platform allows you to keep customers happy by turning all the unstructured text into insights.

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Deliver extra value your clients by using text analytics: sentiment analysis, categorization and concept & entity extraction.

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Integrate best in class NLP software into your own technologies: lemmatization, POS tagging, morphological analysis & parsing.

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Our cloud services help market research professionals and data scientists perform sentiment analysis, categorization and entity & concept extraction, easily and effectively.

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Downloadable Resources

From The Blog

  • Using Word2Vec for ontology creation
    An ontology is a data structure that groups entities in domains or types (for example: the entities ‘dog’ and ‘cat’ are grouped under the type ‘animals’), and establishes relations between those entities. Its uses in Computational Linguistics are vast, one of the most interesting for us ... Continue reading...
    Published on August 18, 2017
  • Do you like training? Neither does your chatbot
    If you’re building a chatbot, there’s a high chance you’ve sometimes thought “Why can’t people talk in a simpler, ordered way?”. Well, as linguistics experts, here at Bitext we have good and bad news. ... Continue reading...
    Published on August 11, 2017
  • Enhancing your home assistant: we make Jarvis work!
    The market for smart speakers is heating up: in 2014, Amazon quietly released the Echo, a 9-inch tall cylinder speaker controlled by a cloud-based voice assistant that goes by the name Alexa. Following the Amazon Echo’s popularity, Alphabet released the Google Home in late 2015. At ... Continue reading...
    Published on August 04, 2017


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