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Mphasis DeepInsights Text Summarizer

Mphasis

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Mphasis DeepInsights Text Summarizer

Mphasis

Mphasis DeepInsights Text Summarizer helps in creating a short summary of text documents.

Mphasis DeepInsights Text Summarizer is neural-network-based model that has the ability to automatically learn the distributed representation for sentences and documents. This summarizer is built using Transfer Learning and Transformer based models which use self attention. The input can have a maximum of 512 words and gives output of 3 sentences (approximately 30 words).

Highlights :
  • Use of State of the Art Transformer based models that capture context and helps in decision making for classification.
  • Extractive summarization model that automatically determines and subsequently concatenates relevant sentences from a document to create its summary preserving its original information content. Underlying model understands the document and distills the important information in approximately 3 lines or 30 words. It can have varied applications in the areas of marketing, content generation, Search Engine Optimization and document management.
  • Mphasis DeepInsights is a cloud-based cognitive computing platform that offers data extraction & predictive analytics capabilities. Need Customized Deep learning and Machine Learning Solutions? Get in Touch
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