This solution classifies financial news headlines into positive, negative and neutral sentiments. It uses text analysis, natural language processing, machine learning techniques to predict the sentiment classes. This solution is built around specialized vocabulary encountered in finance and...
Model Package - Fulfilled on Amazon SageMaker
AI-powered Smart Advisor makes life easier for FAs by reducing day-to-day efforts, saving time, and keeping clients happier with: • Intelligent insights: Smart Advisor continuously scans multiple data sources for market data, events, and news. The AI engine determines market sentiments that affect...
Starting from $0.10 to $0.10/hr for software + AWS usage fees
This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent Langchain with NumPy and Pandas on Debian12 LTS by Apps4Rent is a repackaged software that provides a powerful and easy-to-use environment for natural language...
Linux/Unix, Debian 12 - 64-bit Amazon Machine Image (AMI)
Amazon Textract is AWS' pay-as-you go OCR that uses artificial intelligence to automatically extract printed and handwritten text and retrieve data from scanned documents. Amazon Textract does not require preliminary configuration or training but apser's team can enhance the default output through...
Free Trial
The Clinical De-Identification model is designed to recognize and anonymize PHI in Romanian-language clinical notes. It employs state-of-the-art natural language processing techniques to detect sensitive information such as patient names, addresses, medical record numbers, and other identifiers....
Model Package - Fulfilled on Amazon SageMaker
This is a demo product from Amazon that showcases the Marketplace experience. It was created using this sample notebook https://github.com/awslabs/amazon-sagemaker-examples/blob/master/advanced_functionality/scikit_bring_your_own/scikit_bring_your_own.ipynb. Decision Trees (DTs) are a...
Model Package - Fulfilled on Amazon SageMaker
Movie Reviews Sentiment Analyzer classifies movie reviews into positive and negative sentiments. It uses text analysis, natural language processing, machine learning techniques to predict the sentiment class. This solution is built around specialized vocabulary encountered in user reviews. It...
Model Package - Fulfilled on Amazon SageMaker
To make the most out of search engine software like Solr, when dealing with Hebrew texts a dedicated conversion layer (Analyzer) has to be used in order for Hebrew to even be searchable, and to leverage the full range of features provided by the search engine itself. Eyfo's Hebrew Search Analyzer...
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 classification is one of the most common problems prevelant in the industry. Getting labelled data in less time to train a classifier is a tedious task. This solution takes input of unlabeled text data and generates initial/base labels using BERT based pre-trained model for sentiment...
Algorithm - Fulfilled on Amazon SageMaker
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