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Natural Language Processing (76 results) showing 1 - 10



Text Summarizer solution is an optimal way to tackle the problem of information overload by reducing the size of long documents into a few sentences . Neural-network-based models have the ability to automatically learn the distributed representation for sentences and documents. This summarizer is...

Model Package - Fulfilled on Amazon SageMaker


Given an incomplete sentence, this model predicts sentences that are most likely to occur in the context. For example, given input "I love it", it will generate samples like "I love it and enjoy one of their series, Schafer or Clive ."

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Key phrase extractor uses end-to-end text extraction pipeline, text analysis and natural language processing techniques to automate key phrases/words extraction from text documents. This solution is based on unsupervised graph-based, topic-based, statistics-based algorithms for the construction of...

Model Package - Fulfilled on Amazon SageMaker


This algorithm produces similarity scores for a document or a line of text compared to documents in a corpus. The algorithm includes a tf-idf text featurizer to create n-gram features describing the text. It then uses the library scipy.spatial.distance to compute the cosine distance between the new...

Algorithm - Fulfilled on Amazon SageMaker


Sentiment Analyzer expresses a positive, negative and neutral sentiment given a text like tweets, messages, emails, blogs, reviews, forum discussions, and social posts. This module uses text analysis, natural language processing, transfer learning and deep learning techniques to predict sentiment...

Model Package - Fulfilled on Amazon SageMaker


This model will generate lyrics for your next Billboard-topping single. It was trained on a corpus of songs of 139 artists, including those of many of the 100 most popular artists in America. The API takes two inputs: an artist name and seed words that the song could start with and will generate a...

Model Package - Fulfilled on Amazon SageMaker


Emotion Analysis algorithm uses Natural Language Processing (NLP) to predict the emotion classes from a corpus of text. The algorithm analyses individual text expressions in tweets, comments, etc. made on social media platforms or captured in any other text format to classify across four emotion...

Model Package - Fulfilled on Amazon SageMaker

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7Park Data transaction data parsing allows you to wrangle more value out of your credit card, POS, and receipt data by identifying and extracting key entities. Our transaction data classifier (NER) has been trained and optimized on millions of credit card transactions over the last 5 years....

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This model is designed for automation of business communication. Technical walk-through video describing how to use the model: https://youtu.be/rDdC0ekIBd4 It can serve as basis for classification, automatic responses and other uses. For example see the demo implementation for CRM in Customer...

Model Package - Fulfilled on Amazon SageMaker