- Version 2.1
- Sold by Mphasis
This is a Natural Language Processing based solution which can detect up to 4 aspects from online product reviews for radio.
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 4 aspects from online product reviews for radio.
This solution extracts all tabular data pertaining to the Balance Sheet Statements in a company's annual report.
Deep Learning based solution which predicts positive, negative or neutral sentiments around geographical entities (city, state, country)
Machine Learning solution to identify potential home loan candidates and their risk profiles from customers with an existing loan portfolio.
This solution outputs optimal allocation of marketing spend across media channels based on past performance.
A solution to identify and quantify data drift in categorical variables between multiple datasets.
This solution helps in extracting parent and subsidiary organization relations from text documents.
This solution uses an unsupervised anomaly detection approach to identify suspect health metrics in a person using their smartwatch data.
Quantum simulator based solution for selecting optimum locations for delivery points.
Quantum computing-based solution segments the credit card customers by leveraging historical data of customers
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