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
Word Associations Network depicts the most prominent topics and their inter-linkages from a corpus of text. Each topic observed as Nouns and Verbs is represented by frequently associated contextual information in a word network, along with centrality measures of associations like betweeness,...
Model Package - Fulfilled on Amazon SageMaker
QSynth works by annotating the sensitive data, anonymizing and masking to reduce the risk of unauthorized access. Anonymization helps protect against data breaches and unauthorized access by minimizing the exposure of sensitive information. Anonymization can involve replacing personal data with...
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
NNCompass Data Management [Private Offer] combines the benefits of the Private Offer feature along with Carahsoft's contract vehicles in providing customers a seamless acquisition process for their cloud-based products and solutions from AWS Marketplace. NNCompass data management, ETL and cloud...
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
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.
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
Address Extraction model is a robust LSTM based cognitive algorithm for extraction of address from free text. The algorithm uses Deep Learning to parse syntactic and semantic patterns for identifying various country-level addresses in the data. The algorithm ingests a text file as input and...
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
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