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Sentiment Analysis (24 results) showing 1 - 10



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...


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.


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


If you want to know exactly how people feel about your business, sentiment analysis can do the job. Specifically, social media sentiment analysis takes the conversations of your product around the social space and puts them into context.

Model Package - Fulfilled on Amazon SageMaker


For Organizational Improvement. With ScatterSpoke's Business Plan, we give organizations the ability to intentionally improve things that matter most to them, and track those improvements through ScatterSpoke's proprietary AI technology that will enable you and your team to better understand and...

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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


This solution identifies the various aspects and their corresponding sentiment from online product reviews for routers. The following 9 aspects are identified: price, speed, range, connectivity, security, ease of installation, tech support, accessibility and, aesthetics and the 3 sentiments...

Model Package - Fulfilled on Amazon SageMaker


Incorporate NLP into Your Processes NLP Combines AI and Deep Learning with Linguistics to understand unstructured text, taking contextual nuances into account. The use of NLP tools to interpret, analyze, and understand your data is typically one step in your overall automation workflow. NLP Logix...


The solution analyzes reviews of mobile phones and accessories and classifies them into positive and negative sentiments. It uses text analysis, natural language processing, machine learning techniques to predict the sentiment classes. It can be used to analyze product feedback from customers by...

Model Package - Fulfilled on Amazon SageMaker

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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