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Natural Language Processing (46 results) showing 1 - 10



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 ."

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


Paraphrase generation is an important yet challenging task of natural language processing (NLP) that seeks to generate a target sentence which has the same or similar meaning with the source sentence. Neural Paraphrase Generation which is trained with the Long Short-term Memory (LSTM) model and...

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


Chat bots have become mainstream in customer support. However, they serve only as frontend experience and are only as much effective as the power of NLP engine behind them. Otherwise most chat conversations end up in bots not being efficient to understand human language and redirecting to human...

Model Package - Fulfilled on Amazon SageMaker

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Cognitive QnA is an intelligent service , which given a set of FAQ's as an input , is able to intelligently answer a wide range of related questions. It does not require any annotation or tagging of input data and needs minimal variants of the input questions, additionally it is able to create...

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This SageMaker model package provides a REST api to analyze the sentiment of English sentences. The API accepts input as JSON, CSV or plain text, and identifies the sentiment (positive or negative) and provides a confidence level (float number from 0 to 1). We welcome your feedback at...

Model Package - Fulfilled on Amazon SageMaker

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Text similarity can be useful for a variety of purposes like document matching, searching, deduplication, intent matching, relevance, etc. This api endpoint provides semantic similarity scores from a model trained on huge amounts of English texts. Works best when the texts are shorter and contains...

Model Package - Fulfilled on Amazon SageMaker


This model is trained to recognize if there is any sort of background noise (be it a dog barking, street sounds, static, airplane noise, or anything other than the main speaker speaking) when there is a single speaker in the audio snippet. Fundamentally, it classifies an audio recording as noisy or...

Model Package - Fulfilled on Amazon SageMaker