Overview
John Snow Labs - Finance and Legal NLP Libraries are designed to help organizations extract insights from unstructured documents and enable faster, more accurate data analysis. Finance and Legal NLP is a cutting-edge natural language processing solution designed specifically for the Financial and Legal domains, leveraging advanced machine learning algorithms and a vast domain knowledge base.
About the offer
This product includes a package of Natural Language Processing Python libraries specific for the Finance and Legal domains. It allows quick and easy text annotation with pre-trained DL models, rules, and prompts but also NLP model testing, training, and tuning.
There is no limit on the number of documents, models, or pipelines that can be used with this subscription: the software is licensed on a per-server basis.
What is included
- Spark NLP, Spark NLP: Enterprise's premier NLP library offers scalable, trainable versions of the latest research, with 700+ embeddings, 11,000+ pretrained models. It excels in tasks like Entity Recognition, Information Extraction, Text Classification, Translation, and more.
- Finance NLP software and models, enabling financial text classification, financial sentiment analysis, financial Named Entity Recognition (e.g. organizations, products, revenue, profit, losses, trading symbols, etc.), Entity-linking for normalizing NER entities and linking them to databases such as Edgar, Crunchbase, and Nasdaq, Assertion Status for inferring temporality and Relation Extraction financial De-identification and more.
- Legal NLP software and models, covering Named Entity Recognition, Information Extraction on clauses, Legal Clause Classification, Legal Relationship Extraction, Entity Linking, Legal De-identification Assertion Status, and Relation Extraction. It includes access to over 300+ new state-of-the-art models available in multiple languages.
- Visual NLP (OCR) software and models, enabling form understanding, table detection and extraction, noisy image enhancement, visual document classification, visual entity recognition, DICOM to text, signature detection, and image de-identification.
- Full access to all Finance, Legal and Visual models and pipelines published on the NLP Models Hub (currently 1,000+ and counting).
- Ready-to-use Jupyter notebooks that will help you get started with text and image analysis on all major NLP tasks such as text classification, sentiment analysis, named entity recognition etc.
- John Snow Labs python library for text understanding that can be used to test models and pipelines with one line of code.
- Spark NLP Display library for out-of-the-box annotation display on top of textual content.
Who is this offer for
- Teams of python developers that need to extract entities and relations from text, image, and pdf documents;
- Data scientists who deal with NLP problems;
- Machine learning engineers who need to test/train/tune NLP models;
- Scientific researcher groups who need to extract meaning from unstructured, natural language documents;
- And anyone else interested in text and image analysis, image digitization, data extraction, document labeling and/or NLP model training.
Target verticals
The Spark NLP and Visual NLP libraries included in this offer are general and can be applied to any domain to documents written in over 250 languages. The Finance and Legal libraries contained pretrained resources specific for the Finance and Legal domains. The NLP Models Hub contains over 12k pre-trained models and pipelines for general-purpose documents. It also contains 1000+ specialized pre-trained models for the Finance and Legal verticals.
About the Trial
John Snow Labs introduces a flexible pay-as-you-go of our most popular NLP libraries subscription ready to process and extract your financial and legal texts in just a few minutes. Start an instance when you are ready to process your data, and stop the instance to not incur any more charges.
Technical Specifications
- Recommended memory: 32GB RAM
- Recommended vCPU:8 vCPUs
- Operating System:Ubuntu 20.04
Included integrations
- Jupyter Lab is preinstalled and running on port 5000. Password: INSTANCE_ID
3 Easy Steps to get started
- Subscribe to the product on the AWS Marketplace.
- Deploy it on a new machine.
- Access the welcome page for a guided experience on http://INSTANCE_IP.
Highlights
- The most widely used NLP library in the enterprise, available as a turnkey package for data scientists including Spark NLP, Finance and Legal NLP, Visual NLP, plus visualization and model testing libraries.
- Access to 1000+ pre-trained models covering entity recognition, entity linking, relations, assertions, text classification, and de-identification, all tuned for the Financial and Legal verticals.
- State-of-the-Art visual form and document understanding - enabling entity extraction, table extraction, key-value extraction, document classification, and de-identification.
Details
Typical total price
$47.904/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
m4.2xlarge | $47.52 | $0.40 | $47.92 |
m4.4xlarge | $95.04 | $0.80 | $95.84 |
m4.10xlarge | $237.60 | $2.00 | $239.60 |
m4.16xlarge | $380.16 | $3.20 | $383.36 |
m5.2xlarge Recommended | $47.52 | $0.384 | $47.904 |
m5.4xlarge | $95.04 | $0.768 | $95.808 |
m5.8xlarge | $190.08 | $1.536 | $191.616 |
m5.12xlarge | $285.12 | $2.304 | $287.424 |
m5.16xlarge | $380.16 | $3.072 | $383.232 |
m5.24xlarge | $570.24 | $4.608 | $574.848 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
No Refunds
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Version 5.5.1 of John Snow Labs - Finance and Legal NLP features the following versions of the NLP libraries:
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Visual NLP 5.4.1 - https://nlp.johnsnowlabs.com/docs/en/spark_ocr_versions/ocr_release_notes
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Legal NLP 2.0 - https://nlp.johnsnowlabs.com/docs/en/legal_release_notes
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Finance NLP 2.0 - https://nlp.johnsnowlabs.com/docs/en/financial_release_notes
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Spark-NLP 5.5.1 - https://github.com/JohnSnowLabs/spark-nlp/releases/
Additional details
Usage instructions
No sensitive information related to you or your organization will be managed or stored by the Finance and Legal NLP library on the instance(s) where you deploy the product. It is the user's responsibility to safely manage sensitive documents processed using the Finance and Legal NLP libraries. The software does not call home - all document processing is done locally and documents are not copied nor shared outside of the running instances.
Data Encryption: This solution does not encrypt data within the running instance.
Cryptographic keys: Finance and Legal NLP product does not use credentials and cryptographic keys.
Usage instructions: On instance startup, navigate to http://<PUBLIC_IP_OF_INSTANCE> for information about the included libraries and links to ready-to-use notebooks for the most popular tasks. Click on one of the library boxes to navigate to your John Snow Labs - NLP Jupyter server and run the notebooks on your data. The password for connecting to Jupyter Lab is the instance id. To run one of the notebooks, just click on it to open it and then click Run.
Resources
Vendor resources
Support
Vendor support
AWS Marketplace Slack Channel:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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