Sold by: Lelapa AIÂ
Deployed on AWS
Use Lelapa AI's Vulavula Multilingual Sentiment Analysis Model to analyze and categorize sentiments in text across isiZulu.
Overview
At Lelapa AI, we are dedicated to enhancing language technology and expanding its accessibility with our Vulavula Multilingual Sentiment Analysis Model, tailored for Africa's rich linguistic landscape. This cutting-edge model accurately assesses and classifies sentiments in text, capturing emotions and opinions specifically in isiZulu. By transforming raw text into an organized format, it facilitates deeper understanding and supports more refined interactions, particularly in chatbot systems. This robust tool improves data analysis, enabling more advanced applications in multilingual contexts.
Highlights
- Comprehensive Emotion Detection: Lelapa AI presents the Vulavula Sentiment Analysis Model, meticulously crafted to interpret and analyze text for sentiment in isiZulu, providing a nuanced understanding of emotions and opinions within African languages
- Enhanced Accuracy and Efficiency: Leveraging state-of-the-art technology, the Vulavula Sentiment Analysis Model delivers precise sentiment categorization with exceptional speed and accuracy, surpassing traditional models and significantly improving the quality of user interactions and data insights.
- Versatile Use Cases: Tailored to meet diverse requirements, Lelapa AI's sentiment analysis model is ideal for a variety of applications, including sentiment monitoring, customer feedback analysis, and personalized content recommendations in isiZulu, making it an invaluable asset for developers and businesses focused on African markets.
Details
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Delivery method
Latest version
Deployed on AWS
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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.xlarge Inference (Batch) Recommended | Model inference on the ml.m5.xlarge instance type, batch mode | $18.00 |
ml.m5.xlarge Inference (Real-Time) Recommended | Model inference on the ml.m5.xlarge instance type, real-time mode | $10.00 |
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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
This is the first version.
Additional details
Inputs
- Summary
The model accepts text/csv and application/json requests that specifies the input text .
text = "This is a test"
- Input MIME type
- text/csv
This NER model was built brilliant researchers at Lelapa AI,
Le modeli ye-NER yakhiwe abacwaningi abahlakaniphile e-Lelapa AI
https://github.com/Lelapa-AI/lelapa-aws/blob/main/lelapa_aws/input.csv
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
Text | Raw text in isiZulu for sentiment analysis. | Type: FreeText | Yes |
Resources
Vendor resources
Support
Vendor support
Vulavula Multilingual Sentiment Analysis Model support@lelapa.aiÂ
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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