Sold by: MphasisÂ
Deployed on AWS
This is a psychology-based social media data analysis algorithm which determines important life events of a person
Overview
Life event detection is a machine learning based psychological data analysis solution which currently works on social media data. It can detect total 23 categories as life events, such as : 'relationship', 'exam', 'marriage', 'death', 'awards', 'birthday', 'sick', 'courtCase', 'event' etc. This solution provides good insights about the users, their preferences, and situational dynamics. Detection of personal life events can be investigated for use cases like content recommendation, relevant product recommendations etc.
Highlights
- Mphasis HyperGraf is an Omni-channel customer 360 analytics solution. This solution can be leveraged to build targeted and relevant Lead generation campaigns
- Detection of personal life events can be investigated for use cases like content recommendation, relevant product recommendations etc.
- Mphasis HyperGraf is an omni-channel customer 360 analytics solution. Need customized Deep Learning/NLP solutions? Get in touch!
Details
Sold by
Delivery method
Latest version
Deployed on AWS
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Pricing
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Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.2xlarge Inference (Batch) Recommended | Model inference on the ml.m5.2xlarge instance type, batch mode | $16.00 |
ml.m5.2xlarge Inference (Real-Time) Recommended | Model inference on the ml.m5.2xlarge instance type, real-time mode | $8.00 |
ml.m4.4xlarge Inference (Batch) | Model inference on the ml.m4.4xlarge instance type, batch mode | $16.00 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $16.00 |
ml.m4.16xlarge Inference (Batch) | Model inference on the ml.m4.16xlarge instance type, batch mode | $16.00 |
ml.p3.16xlarge Inference (Batch) | Model inference on the ml.p3.16xlarge instance type, batch mode | $16.00 |
ml.m4.2xlarge Inference (Batch) | Model inference on the ml.m4.2xlarge instance type, batch mode | $16.00 |
ml.c5.2xlarge Inference (Batch) | Model inference on the ml.c5.2xlarge instance type, batch mode | $16.00 |
ml.p3.2xlarge Inference (Batch) | Model inference on the ml.p3.2xlarge instance type, batch mode | $16.00 |
ml.c4.2xlarge Inference (Batch) | Model inference on the ml.c4.2xlarge instance type, batch mode | $16.00 |
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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
Input:
- The algorithm works with text data
- Supported content types: 'text/csv'
- Input should be a .csv file. Maximum number of rows should not exceed 30 per batch transform
- Mandatory Column: 'Text'. Each row should contain social media data, with text less than 280 characters
Output:
Result will only contain the text rows which have life events for a person. 'Text' column contains the actual social media data and 'Category' column represents the category of life event detected.
- Supported content types: 'text/csv' Following are the categories with their definitions:
- relationship: Beginning of a romantic relationship
- exam: Participation or completion of a major exam or test
- marriage: Wedding or marriage related events
- writeup: Graduation on the completion of a school or college course
- movement: Moving to new places however in a non-vacation setting
- job: Beginning of employment in a new work position
- vacation: Going for a vacation
- relationship_: Ending of a romantic relationship
- education: Completion of a major academic exercise
- awards: Winning of an award in a non-sporting setting
- birth: Events related to the birth of a child
- birthday: Birthday related celebration
- book: Completion or release of a fiction or non-fiction book authored by the individual
- death: Mourning on passing away of a significant other
- sick: Person suffering from a major ailment, or loss of physical wellbeing
- acting: Individual being involved in an acting role across media
- agreement: Entering into a major legal contract
- courtCase: Individual being involved in a legal proceeding as either a party or a jury member
- medical: Major surgery or illness
- song: Individual completing the making of a song or musical property
- win: Winning in a sports/athletic setting
- events: Important public events
- other: Any other categories that are not a part of the defined list of categories
Resources
- Input MIME type
- text/csv, application/json, text/plain
See Input Summary
See Input Summary
Resources
Vendor resources
Support
Vendor support
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