Estimate the degree of similarity between texts

With text similarity, you can build models that compare and find texts that are similar in context and meaning, without them sharing a single common word. This means that for a given set of texts, the model can give you a quantifiable measure of how alike they are and give you the best matches in return, and in 100 languages.

01/ Examples of areas where text similarity can bring value

  • Improved text search

    A question can be asked in many different ways, with different wordings, and in many different languages. By using multilingual semantic similarity, you can raise the quality of generated results whether it is used for customer-facing search engines or internal data library search engines.

  • Customer support

    In a customer service setting, text similarity models can help customer support agents find the right answers to customer queries more quickly by automatically searching through past answers to similar queries, or perhaps a pre-made database of suitable answers.

  • RFP processes

    A "Request for Proposal" is a document that solicits proposals from potential suppliers, and for bid-writers working very actively with RFPs, this comes with a high workload. By using text similarity, bid-writers can automate text searches on past bids and save valuable time.

  • Legal documentation

    In legal matters, the expert usually goes through a huge number of legal documents to understand and analyse which ones are relevant to his or her current case. By adding semantic text similarity to a legal document database, the expert can more easily and quickly find relevant documentation.

In this video, we want to show you how text similarity can be used in practice as well as the steps needed to build a model for yourself on the Peltarion platform.

02/ Content collection: Dedicated learning and blog posts

Need help finding your business case?

Johan Hartikainen
Sales Lead
Peiman Momeni
Sales Lead

This is how it works

The Peltarion Platform is an operational AI platform for building and deploying AI models that is capable of executing a broad range of deep learning-based use cases. The platform carries prebuilt and pretrained networks ready for the users to work on, and provides an incredible ease of use for iterating, evaluating and refining models. When finalised, you just integrate your Peltarion model into your off platform project and you are ready to go.

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Read our blog posts, use cases or test a few of our tutorials to get more detailed information about the benefits of using the Peltarion platform.
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