- Version 1.3
- Sold by Mphasis
Machine Learning based solution which classifies movie reviews into positive and negative sentiment categories.
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.
Machine Learning based solution which classifies movie reviews into positive and negative sentiment categories.
This solution is a deep learning-based trainable algorithm, capable of detecting anomalous behavior in temperature data from IoT sensors.
This solution generates enhanced sentiment class labels for user provided unlabeled text data.
The solution provides 24 hours of future forecast of server storage space using historic data
This solution can synthesize varied backgrounds for an image containing a subject, whether a human subject or any specific character/object.
This solution predicts Return on Advertising Spend (ROAS) for media channels based on previous data using Bayesian Marketing Mix solution.
This is a NLP based solution which can detect up to 8 aspects and their respective sentiments from online product reviews for laptops.
Computer vision based solution to detect and correct tilt in scanned documents to improve the performance of document processing pipelines.
A Natural Language Processing (NLP) based solution to identify key topics present in money transfer specific customer complaints.
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