Sold by: MphasisÂ
Overview
The text similarity analyser finds pairwise similarity between textual content. This helps in identifying if the textual contents have similar verbatim and contextual information. Higher similarity value means the text content have very similar contextual information and are written in similar verbatim. This helps in removing duplicate content from a set.
Highlights
- An unsupervised text mining solution to find similarity between text based on content and context. An intuitive similarity score that ranges from 0 (low similarity) to 1 (high similarity) is computed that can be used to segregate documents belonging to distinct subject groups.
- Some of the practical applications for this solution include: 1) Comparing similarity across textual content, Optimization of time taken in searching for relevant information such as de-duplication of search engine results. 2) Grouping documents with similar content
- 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!
Details
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Delivery method
Latest version
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.large Inference (Batch) Recommended | Model inference on the ml.m5.large instance type, batch mode | $20.00 |
ml.t2.medium Inference (Real-Time) Recommended | Model inference on the ml.t2.medium instance type, real-time mode | $10.00 |
ml.m4.4xlarge Inference (Batch) | Model inference on the ml.m4.4xlarge instance type, batch mode | $20.00 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $20.00 |
ml.m4.16xlarge Inference (Batch) | Model inference on the ml.m4.16xlarge instance type, batch mode | $20.00 |
ml.m5.2xlarge Inference (Batch) | Model inference on the ml.m5.2xlarge instance type, batch mode | $20.00 |
ml.p3.16xlarge Inference (Batch) | Model inference on the ml.p3.16xlarge instance type, batch mode | $20.00 |
ml.m4.2xlarge Inference (Batch) | Model inference on the ml.m4.2xlarge instance type, batch mode | $20.00 |
ml.c5.2xlarge Inference (Batch) | Model inference on the ml.c5.2xlarge instance type, batch mode | $20.00 |
ml.p3.2xlarge Inference (Batch) | Model inference on the ml.p3.2xlarge instance type, batch mode | $20.00 |
Vendor refund policy
Currently we do not support refunds, but you can cancel your subscription to the service at any time.
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Feature upgrades and bug fixes
Additional details
Inputs
- Summary
The input file should be a zip of text files (.txt) in utf-8 encoding
- Limitations for input type
- 1) The zipped file can have a maximum of 20 documents 2) The maximum size of the each file should be <= 10KB (1000 lines)
- Input MIME type
- application/zip
https://github.com/Mphasis-ML-Marketplace/DeepInsights-Text-Similarity-Analyser/tree/main/Input
https://github.com/Mphasis-ML-Marketplace/DeepInsights-Text-Similarity-Analyser/tree/main/Input
Resources
Vendor resources
Support
Vendor support
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