Amazon Sagemaker
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
DeepInsights Text Similarity Analyser
By:
Latest Version:
4.2
A solution to find similarity between textual content
Product 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.
Key Data
Version
By
Type
Model Package
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
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Pricing Information
Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.
Contact us to request contract pricing for this product.
Estimating your costs
Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.
Version
Region
Software Pricing
Model Realtime Inference$10.00/hr
running on ml.t2.medium
Model Batch Transform$20.00/hr
running on ml.m5.large
Infrastructure PricingWith Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
SageMaker Realtime Inference$0.056/host/hr
running on ml.t2.medium
SageMaker Batch Transform$0.115/host/hr
running on ml.m5.large
Model Realtime Inference
For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.InstanceType | Realtime Inference/hr | |
|---|---|---|
ml.m4.4xlarge | $10.00 | |
ml.g4dn.4xlarge | $10.00 | |
ml.m5.4xlarge | $10.00 | |
ml.m4.16xlarge | $10.00 | |
ml.m5.2xlarge | $10.00 | |
ml.p3.16xlarge | $10.00 | |
ml.r5.large | $10.00 | |
ml.g4dn.2xlarge | $10.00 | |
ml.m4.2xlarge | $10.00 | |
ml.r5.12xlarge | $10.00 | |
ml.c5.2xlarge | $10.00 | |
ml.r5.xlarge | $10.00 | |
ml.p3.2xlarge | $10.00 | |
ml.c4.2xlarge | $10.00 | |
ml.g4dn.12xlarge | $10.00 | |
ml.m4.10xlarge | $10.00 | |
ml.c4.xlarge | $10.00 | |
ml.m5.24xlarge | $10.00 | |
ml.c5.xlarge | $10.00 | |
ml.g4dn.xlarge | $10.00 | |
ml.r5.24xlarge | $10.00 | |
ml.p2.xlarge | $10.00 | |
ml.m5.12xlarge | $10.00 | |
ml.g4dn.16xlarge | $10.00 | |
ml.p2.16xlarge | $10.00 | |
ml.c4.4xlarge | $10.00 | |
ml.r5.4xlarge | $10.00 | |
ml.c5.large | $10.00 | |
ml.m5.xlarge | $10.00 | |
ml.c5.9xlarge | $10.00 | |
ml.m4.xlarge | $10.00 | |
ml.c5.4xlarge | $10.00 | |
ml.p3.8xlarge | $10.00 | |
ml.c4.large | $10.00 | |
ml.m5.large | $10.00 | |
ml.c4.8xlarge | $10.00 | |
ml.p2.8xlarge | $10.00 | |
ml.g4dn.8xlarge | $10.00 | |
ml.t2.xlarge | $10.00 | |
ml.c5.18xlarge | $10.00 | |
ml.t2.large | $10.00 | |
ml.r5.2xlarge | $10.00 | |
ml.t2.medium Vendor Recommended | $10.00 | |
ml.t2.2xlarge | $10.00 |
Usage Information
Model input and output details
Input
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/zipSample input data
Output
Summary
The output from the model is a csv file
Output file contains a document to document matrix with scores of similarity indices between 0 to 1 interpreted as:
- 0 being least similar
- 1 being most similar
Output MIME type
text/csv, text/plainSample output data
Sample notebook
Additional Resources
End User License Agreement
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Support Information
DeepInsights Text Similarity Analyser
For any assistance, please reach out at:
AWS Infrastructure
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