Sold by: MphasisÂ
Deployed on AWS
This solution helps in pre-processing textual data to provide useful information for further text analytics.
Overview
Text Pre-processor solution is an efficient way of automatically cleaning text data to make it ready for further text analytics. The model takes a corpus of text as input file and an optional Stop_Words file for stop words removal and applies NLP to generate a processed output containing tokenized words, lemmatization, noun chunks and geographical locations present in the corpus with their frequency of occurrences. This solution also generates treemap plots for most frequent words and geographical location with their corresponding frequency in the cleaned text.
Highlights
- Text pre-processor is a Natural Language Processing based solution for cleaning the textual data and providing information about the text at token level by doing NLP operations such as tokenization, lemmatization, POS tagging and Named Entity recognition. This solution provides frequency matrix for Words, Lemmas, Noun chunks and Geographical locations along with plot of most frequent words and geographical locations.
- The model can take a maximum of 35kb (~500 rows of text) as input and process to give output.
- 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 | $8.00 |
ml.m5.large Inference (Real-Time) Recommended | Model inference on the ml.m5.large instance type, real-time mode | $4.00 |
ml.m4.4xlarge Inference (Batch) | Model inference on the ml.m4.4xlarge instance type, batch mode | $8.00 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $8.00 |
ml.m5.12xlarge Inference (Batch) | Model inference on the ml.m5.12xlarge instance type, batch mode | $8.00 |
ml.m4.16xlarge Inference (Batch) | Model inference on the ml.m4.16xlarge instance type, batch mode | $8.00 |
ml.m5.2xlarge Inference (Batch) | Model inference on the ml.m5.2xlarge instance type, batch mode | $8.00 |
ml.c4.4xlarge Inference (Batch) | Model inference on the ml.c4.4xlarge instance type, batch mode | $8.00 |
ml.m5.xlarge Inference (Batch) | Model inference on the ml.m5.xlarge instance type, batch mode | $8.00 |
ml.c5.9xlarge Inference (Batch) | Model inference on the ml.c5.9xlarge instance type, batch mode | $8.00 |
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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Vendor terms and conditions
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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
Bug Fixes and Performance Improvement
Additional details
Inputs
- Summary
- Supported content types: application/zip.
- Zip file must contain text article as Input.txt.
- Zip file can contain Stop_Words.txt for customized stop word removal.
- Limitations for input type
- * Maximum input file size: 35kb ( ~ 500 rows of text).
- Input MIME type
- text/csv, text/plain, application/zip
https://github.com/Mphasis-ML-Marketplace/Mphasis-DeepInsights-Text-Pre-processor/tree/main/Input
https://github.com/Mphasis-ML-Marketplace/Mphasis-DeepInsights-Text-Pre-processor/tree/main/Input
Resources
Vendor resources
Support
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