Sold by: Virtusa Corporation - vLifeÂ
Overview
If you want to know exactly how people feel about your business, sentiment analysis can do the job. Specifically, social media sentiment analysis takes the conversations of your product around the social space and puts them into context.
Highlights
- We have taken sample of 3500 tweets , We have also labelled this data with NEGATIVE , NEUTRAL & POSITIVE sentiment to train the model. Trained model has got accuracy of around 80% & F1 score of 81% with Test data.
Details
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Delivery method
Latest version
Deployed on AWS
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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 | $16.00 |
ml.t2.medium Inference (Real-Time) Recommended | Model inference on the ml.t2.medium instance type, real-time mode | $8.00 |
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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
Getting customer feedback is a major challenge as there can be multiple cases where customer can comment good or bad about product or services. To tackle this, Virtusa-GCTS has developed a Machine Learning based solution which will predict the sentiment of user based on his/her tweet. The model uses cutting edge regression algorithms. This model will help to get the sentiment of the product, based on that company can take corrected measures for that.
Additional details
Inputs
- Summary
Model expect csv file with label Tweets, one can put all the new tweets in csv file with Tweets as a column.
- Input MIME type
- application/json, text/csv
https://aws-marketplace-models.s3-us-west-2.amazonaws.com/social-media-analytics/input/payload.json
https://aws-marketplace-models.s3-us-west-2.amazonaws.com/social-media-analytics/input/batch_transform.csv
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
Tweets | Tweets after searching Astrazeneca covid vaccine | Type: FreeText | Yes |
Resources
Vendor resources
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