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    Text Classifier with auto Deep Learning

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    Sold by: Mphasis 
    Deployed on AWS
    This solution automatically identifies and trains the best performing deep learning model for text classification.

    Overview

    This solution will evaluate between several deep learning models of various architectures on the user provided data. It will identify the best performing deep learning model architecture on the basis of validation metric for text classification. This will reduce the time and effort for the model building task for a data scientist. This solution automates several of deep learning tasks in data science.

    Highlights

    • This solution will help identify the best deep learning model architecture for the text classification data set and help improve the turn-around time for any text processing development as well as save time of a data scientist.
    • This solution can be used for various NLP based solutions like sentiment analysis , entity extraction etc. in various domains like banking , insurance , retail , legal and ecommerce.
    • 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

    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.
    Financing for AWS Marketplace purchases

    Pricing

    Text Classifier with auto Deep Learning

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    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.

    Usage costs (78)

     Info
    Dimension
    Description
    Cost/host/hour
    ml.m5.2xlarge Inference (Batch)
    Recommended
    Model inference on the ml.m5.2xlarge instance type, batch mode
    $20.00
    ml.m5.2xlarge Inference (Real-Time)
    Recommended
    Model inference on the ml.m5.2xlarge instance type, real-time mode
    $10.00
    ml.m5.4xlarge Training
    Recommended
    Algorithm training on the ml.m5.4xlarge instance type
    $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.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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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

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    Usage information

     Info

    Delivery details

    Amazon SageMaker algorithm

    An Amazon SageMaker algorithm is a machine learning model that requires your training data to make predictions. Use the included training algorithm to generate your unique model artifact. Then deploy the 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:
    Before deploying the model, train it with your data using the algorithm training process. You're billed for software and SageMaker infrastructure costs only during training. Duration depends on the algorithm, instance type, and training data size. When training completes, the model artifacts save to your Amazon S3 bucket. These artifacts load into the model when you deploy for real-time inference or batch processing. For more information, see Use an Algorithm to Run a Training Job  .
    Deploy the model as an API endpoint for your applications. When you send data to the endpoint, SageMaker processes it and returns results by API response. The endpoint runs continuously until you delete it. You're billed for software and SageMaker infrastructure costs while the endpoint runs. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Deploy models for real-time inference  .
    Deploy the model to process batches of data stored in Amazon Simple Storage Service (Amazon S3). SageMaker runs the job, processes your data, and returns results to Amazon S3. When complete, SageMaker stops the model. You're billed for software and SageMaker infrastructure costs only during the batch job. Duration depends on your model, instance type, and dataset size. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Batch transform for inference with Amazon SageMaker AI  .
    Version release notes

    Fixed Bugs

    Additional details

    Inputs

    Summary

    This algorithm takes a zip file as an input. This zip file to be uploaded for training the model should follow the following file structure Sample.zip |----class 1 |----|----img1.png |----class 2 |----|----img1.png |----… |----class n |----|----img1.png |----dict.json

    Input MIME type
    text/csv, text/plain, application/zip
    https://github.com/Mphasis-ML-Marketplace/Text-Classifier-with-auto-Deep-Learning
    https://github.com/Mphasis-ML-Marketplace/Text-Classifier-with-auto-Deep-Learning

    Input data descriptions

    The following table describes supported input data fields for real-time inference and batch transform.

    Field name
    Description
    Constraints
    Required
    Train/test data
    The zip file should contain images. The folder structure should be as specified in the usage instructions. Please go through them for more information. The current accepted image types are: png, jpg
    Default value: 1 Type: Categorical Allowed values: 1
    No

    Support

    Vendor support

    For any assistance reach out to us at:

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    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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    Customer reviews

    Ratings and reviews

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    13 external reviews
    Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
    Naman S.

    Perfect AI technology for text analysing

    Reviewed on Apr 14, 2023
    Review provided by G2
    What do you like best about the product?
    An incredible platform for unifying and classifying the text and data in documents and files inserted in this platform. Enables the users to use AI tools for automation over the data for text analysis and classification.
    It also helps to creat unique and hyperparameter data text from the sketch of data.
    One of the best features is that it reduces human errors in the data as everything is automated and done with ML or AI tools for high data production.
    You can use it to process and run the ongoing project; it adapts all the configurations of your systems and project information.
    Modelling and labelling of data and text most uniquely and innovatively.
    What do you dislike about the product?
    Due to the extensive data size processing, this software's speed or workflow is affected.
    Does not support multiple file formats, which is not good. I think this should be improved in this software.
    The algorithms are pretty complex to understand for the first time when using this software.
    What problems is the product solving and how is that benefiting you?
    The software helps us to unify and sort spam or fraud mail from the inbox, which makes us reply to our genuine customers more quickly and on time.
    Rishab S.

    The best deep learning text classification tool!!

    Reviewed on Mar 13, 2023
    Review provided by G2
    What do you like best about the product?
    As a data scientist, I have to deal with a lot of data. With this tool, i was able to classify required data and target particulars in a more efficient way. This tool is very useful to use, and no prerequisites are required.
    What do you dislike about the product?
    As this tool is a complete package with all its features and solutions, I can't hope really wish for anything more. Kudos!!!
    What problems is the product solving and how is that benefiting you?
    I did data classification perfectly with this tool.
    Mugdha S.

    Awesome tool with excellent solutions!!

    Reviewed on Mar 10, 2023
    Review provided by G2
    What do you like best about the product?
    With Text Classifier with auto Deep Learning, the system can automatically determine the best algorithm, hyperparameters, and other configurations that produce the most accurate predictions for the given dataset. This can save significant time and resources, especially when dealing with large and complex datasets.
    What do you dislike about the product?
    The feedback feature of this tool needs some customization fixes. When it comes to handling large amount of data-sets, as a user, it is quite time-consuming for me to check on the feedback for each data sets entered.
    What problems is the product solving and how is that benefiting you?
    Data labeling with this tool has become easy as it has introduced deep learning technologies along with Artificial Intelligence. The solutions helped us to detect the malfunctions is our existing data .
    Chris C.

    Text classifier using machine learning to sort data is amazing

    Reviewed on Mar 09, 2023
    Review provided by G2
    What do you like best about the product?
    Text classifier is very intuitive in the way it classifies data for you and learns and gets more user friendly as you go!
    What do you dislike about the product?
    I did not find any flaws in my usage of text classifier, it's a great product and I recommend it
    What problems is the product solving and how is that benefiting you?
    Text classifier solves many problems for me by the way it learns and gets better at identifying data and where to sort it to.
    Computer & Network Security

    Great new AI tech

    Reviewed on Jan 19, 2023
    Review provided by G2
    What do you like best about the product?
    The fact that AI is up and coming and allows Deep Learning to provide intelligent recommendations for determining quality of search and indexing results. We are using it for inventory management and customer feedback. Love the tech
    What do you dislike about the product?
    There are several false positives for issue reports that we try to use when we leverage this technology for customer feedback. I think the roots of the technology are solid and these results will improve over time as our database grows larger
    What problems is the product solving and how is that benefiting you?
    We are leveraging this system for customer feedback and inventory management. This is helping many of the manual steps in filtering customer feedback coming into our systems
    View all reviews