The solution analyzes reviews of mobile phones and accessories and classifies them into positive and negative sentiments. It uses text analysis, natural language processing, machine learning techniques to predict the sentiment classes. It can be used to analyze product feedback from customers by...
Model Package - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies...
Model Package - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies...
Model Package - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies...
Model Package - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies...
Model Package - Fulfilled on Amazon SageMaker
H2O’s Deep Learning is based on a multi-layer feedforward artificial neural network that is trained with stochastic gradient descent using back-propagation. The network can contain a large number of hidden layers consisting of neurons with tanh, rectifier, and maxout activation functions. Advanced...
Algorithm - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/google/experts/bert/pubmed/1). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the second...
Model Package - Fulfilled on Amazon SageMaker
This is a Text Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/google/electra_base/1). It takes a text string as input and classifies the input text as either a positive or negative movie review. The Text Embedding model which is pre-trained on...
Model Package - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [Hugging Face](https://huggingface.co/bert-large-uncased-whole-word-masking). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment...
Model Package - Fulfilled on Amazon SageMaker
The ZS Canary Decision Studio includes a library of applications that are assembled to develop comprehensive solutions to common use cases. There are four modules: Map, Web Scrape, Auto Profile and Alert. These work in tandem to provide customized risk scores and recommendations to mitigate supply...
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