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Aspect Based Employee Sentiment Analyzer identifies positive or negative sentiments in employee reviews for specific aspects. The aspects include career opportunities, compensation and benefits, work life balance, work culture, and leadership. It automates the manual effort to analyze employee...

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This model is specialized in health-related text analysis in colloquial language within the domain of Public Health and Voice of Patients. It is designed to identify and extract various entities such as Diagnosis, Treatments, Tests, Psychological Conditions, Relationship Status, Symptoms,...

Model Package - Fulfilled on Amazon SageMaker

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This SageMaker model package provides a REST api to detect named entities in US English sentences. The API accepts input as JSON and identifies entities in an input text array. We welcome your feedback at aws-support@sigmodata.com. To see a notebook with usage instructions go to...

Model Package - Fulfilled on Amazon SageMaker


This is a Natural Language Processing (NLP) based text classification solution that helps identify whether a given consumer complaint requires monetary compensation based on the complaint narrative. A complaint is classified as either requiring monetary relief or can be resolved through...

Model Package - Fulfilled on Amazon SageMaker


This solution identifies various aspects from online product reviews for refrigerators. The following 9 aspects are identified: Storage Capacity, Noise/Sound, Price, Ease Of Installation, Cooling, Filtration, Build Quality, Design, Service. This enables companies to easily identify which aspects...

Model Package - Fulfilled on Amazon SageMaker


VARCO LLM 2.0 is NCSOFT's large language model that can be applied to the development of various natural language processing-based AI services such as text generation, question answering, chatbots, summarization, and information extraction. NCSOFT's VARCO LLM 2.0 was developed with our own...

Algorithm - Fulfilled on Amazon SageMaker


Document Similarity solution helps a user find pairwise similarity between documents. This will help in identifying whether two documents have similar verbatim and contextual information. Higher similarity value means documents have very similar contextual information and are written in similar...

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/experts/bert/wiki_books/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...

Model Package - Fulfilled on Amazon SageMaker