This solution classifies airline reviews into positive and negative sentiments. It uses text analysis, natural language processing, machine learning techniques to predict sentiment classes for airline reviews. It also generates two word clouds: one each for positive and negative sentiment reviews....
Model Package - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/tensorflow/bert_en_wwm_cased_L-24_H-1024_A-16/2). 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
A high frequency of issues can generate an overwhelming number of customer complaint tickets and incorrect delegation to teams to handle them. This leads to a spike in MTTR (mean time taken to resolve) and a dip in FCR (First Call Resolution). The solution mitigates these issues by training a...
Algorithm - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/tensorflow/bert_en_cased_L-12_H-768_A-12/2). 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
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
Sentiment Analysis uses a state of art transformer based natural language processing model. The product provides accurate, real-time sentiment analysis, enabling businesses to understand customer emotions and opinions better. This enables you to gain valuable insights from vast amounts of textual...
Model Package - Fulfilled on Amazon SageMaker
This is a Text Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/tensorflow/bert_en_cased_L-24_H-1024_A-16/2). 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...
Model Package - Fulfilled on Amazon SageMaker
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With extensive experience in developing natural language processing (NLP) products and services in Spanish, from the Instituto de Ingeniería del Conocimiento (IIC), we want to share our knowledge with the rest of the world by making available the best NLP assets in our language. The Rigo family is...
Model Package - Fulfilled on Amazon SageMaker
Note: This product is available for IBM Embed Solution Contracted Partners only. Learn more at https://ibm-mkpl-cp4d.s3.amazonaws.com/AWS-Build-with-IBM.pdf IBM Watson NLP Library for Embed is a containerized library designed to empower partners with greater flexibility to infuse powerful natural...
The solution applies deep learning model (CNN) to classify text data such as reviews and transcripts to identify features leading to prediction of user defined classes. It has explainable AI functionality which helps to understand why the model predicts the class based on key words and phrases in...
Algorithm - Fulfilled on Amazon SageMaker
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