- Version 2.1
- Sold by Mphasis
This is a Natural Language Processing based solution which can detect up to 12 aspects from online product reviews for dishwashers.
Mphasis applies next generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis FrontBack™ Transformation approach. 'Front2Back' uses the exponential power of cloud and cognitive to provide hyper-personalized digital experience to clients and their customers. Mphasis Service Transformation approach helps 'shrink the core' through application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world.
This is a Natural Language Processing based solution which can detect up to 12 aspects from online product reviews for dishwashers.
This solution provides 24 hours of forecast of cloud database using historical hourly database resource usage data.
Comprehensive solution which uses Deep learning & Computer Vision to correct tilt, contrast/brightness & flipped pages in scanned documents.
This solution analyzes credit reporting complaints narratives to identify the ones which may require a monetary compensation.
Machine learning based ticket triaging model to improve accuracy of ticket assignments and thereby improve FCR and MTTR.
This is a NLP based solution which can detect 7 aspects and their respective sentiments from online product reviews for Camera Bags.
This is a NLP based solution which can detect up to 8 aspects and their sentiments from online product reviews for storage devices.
An explainable AI solution for providing global explanation for structured data models
An NLP based system to classify IT incidents/tickets based on ticket description, using an attention based model.
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