Sold by: Mphasis
Deployed on AWS
Lexicon based NLP solution for predicting big 5 (OCEAN) personality traits and assigning trait scores to users.
Overview
The Big 5 personality analyser takes input text from a user and assigns score on the Big 5 personality traits (Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism). The underlying algorithm utilises Natural Language Processing and computational psycho-linguistics to assign the scores.
Highlights
- The solution provides assessment of an individual's score on the Big 5 (OCEAN) personality traits. The algorithm analyses individual expressions in blogs, emails, chat transcripts, tweets, Facebook posts, comments made on social media platforms etc. and conducts a lexicon-based analysis to arrive at the 5 scores.
- The solution provides a way to leverage information about personality traits to provide hyper personalized experiences to individuals interacting with firms in various capacities. For instance, as a customer seeking products, or a prospective employee applying for a job, or as existing employees exploring training for improving personal effectiveness.
- Need customised Machine Learning and Deep Learning Solutions? Get in touch !Mphasis HyperGraf is an omni-channel customer 360 analytics solution. Need customized Deep Learning/NLP solutions? Get in touch!
Details
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Delivery method
Latest version
Deployed on AWS
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Features and programs
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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.xlarge Inference (Real-Time) Recommended | Model inference on the ml.m5.xlarge 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.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.p3.16xlarge Inference (Batch) | Model inference on the ml.p3.16xlarge instance type, batch mode | $8.00 |
ml.m4.2xlarge Inference (Batch) | Model inference on the ml.m4.2xlarge instance type, batch mode | $8.00 |
ml.c5.2xlarge Inference (Batch) | Model inference on the ml.c5.2xlarge instance type, batch mode | $8.00 |
ml.p3.2xlarge Inference (Batch) | Model inference on the ml.p3.2xlarge 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.
Legal
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 updates.
Additional details
Inputs
- Summary
The algorithm works with any text data which could be in the form of a blogs, email, chat transcript, Facebook post, tweets, or any other text expression by the individual whose personality is being assessed.
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The input must be in ‘.csv’ format.
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The column containing the text data must be given the heading as “Text”
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All the text data should contain atleast 200 words.,for better results one can provide more words.
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- Input MIME type
- text/csv, text/plain
https://github.com/Mphasis-ML-Marketplace/Mphasis-HyperGraf-Big-5-Trait-Analyzer/tree/main/Input
https://github.com/Mphasis-ML-Marketplace/Mphasis-HyperGraf-Big-5-Trait-Analyzer/tree/main/Input
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
Text | This column contains the textual input from which traits will be identified. | Type: FreeText | Yes |
Resources
Vendor resources
Support
Vendor support
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