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Sentiment Analysis (16 results) showing 1 - 10



This API returns sentiment analysis results with score for the given text. Find out the tone of a user comment or post. This is helpful when you have a lot of unstructured data like Twitter comments or user feedback where you need to sort or identify the most favorable and most unfavorable comments.


hyScore.io is an independent provider of innovative Natural Language Processing (NLP) solutions in multiple languages combined with AI and Machine Learning (ML). With hyScore analyze you use a NLP solution that provides valuable insights from any text or website in real-time as a structured JSON...


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


In this algorithm we'll be applying deep learning techniques to the task of sentiment analysis. Sentiment analysis can be thought of as the exercise of taking a sentence, paragraph, document, or any piece of natural language, and determining whether that text's emotional tone is positive or...

Algorithm - Fulfilled on Amazon SageMaker


Intellect Contextual Sentiment API service will provide standard and contextual sentiment analysis to English text. This API supports business language text such as those found in financial times, CNBC, WSJ.


Get sentiment analysis results with score for the given text. Find out the tone of a user comment or post. This is helpful when you have a lot of unstructured data like Twitter comments or user feedback where you need to sort or identify the most favorable and most unfavorable comments.

Model Package - Fulfilled on Amazon SageMaker


hyScore|brandrisk helps to identify critical content on journalistic websites, which are not optimally suited as an environment for e.g. an online advertising campaign. The hyScore|brandrisk indicator identifies reports on e.g catastrophes, accidents and crimes. This provides you with an optimal...


Get the emotions of a paragraph of text. What emotions are in this text...? Detect the emotions of a paragraph of text and understand its tones. This mood detector returns a score for each of six emotions: disgust, sadness, anger, joy, surprise, and fear.

Model Package - Fulfilled on Amazon SageMaker

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COVID-19 News Headlines Sentiment Analyzer helps businesses to analyze headlines around the pandemic. It helps the users to identify COVID-19 related sentiments based on analysis of news headlines and classify them as positive, negative, neutral and mixed. It determines the sentiment of News...

Model Package - Fulfilled on Amazon SageMaker

Free Trial


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