Watson Natural Language Understanding
Watson Natural Language Understanding is a cloud native product that uses deep learning to extract metadata from text such as entities, keywords, categories, sentiment, emotion, relations, and syntax. Get underneath the topics mentioned in your data by using text analysis to extract keywords, concepts, categories and more. Analyze your unstructured data in more than thirteen languages. Out-of-the-box machine learning models for text mining provide a high degree of accuracy across your content. Deploy Watson Natural Language Understanding behind your firewall or on any cloud. Train Watson to understand the language of your business and extract customized insights with Watson Knowledge Studio. Maintain ownership of your data with the assurance that your data is safe and secure. IBM will not collect or store your data. By using our advanced natural language processing (NLP) service, we give developers the tools to process and extract valuable insights from unstructured data.
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Tobii Pro Sticky
Sticky by Tobii Pro is a self-service online platform that combines online survey questions with webcam eye tracking and emotion recognition, making advanced quantitative research simple. With this time and cost-efficient method of integrating eye tracking into your research, you can test large panels of consumers as they view targeted shelves, packs, ads, or webpages from their own computers. For a fraction of the cost of traditional in-person research, the online platform Sticky by Tobii Pro enables large-scale quantitative eye tracking research and emotion recognition as a self-service. Using the participant’s webcam, market researchers gain valuable visual and emotional data on the impact and performance of existing or new designs and placements, for example, in packaging and advertising research. The platform is integrated with online survey engines and panel companies with global reach, enabling a distributed data collection setup and with a quick turnaround time.
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Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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Komprehend
Komprehend AI APIs are the most comprehensive set of document classification and NLP APIs for software developers. Our NLP models are trained on more than a billion documents and provide state-of-the-art accuracy on most common NLP use cases such as sentiment analysis and emotion detection. Try our free demo now and see the effectiveness of our Text Analysis API. Maintains high accuracy in the real world, and brings out useful insights from open-ended textual data. Works on a variety of data, ranging from finance to healthcare. Supports private cloud deployments via Docker containers or on-premise deployment ensuring no data leakage. Protects your data and follows the GDPR compliance guidelines to the last word. Understand the social sentiment of your brand, product, or service while monitoring online conversations. Sentiment analysis is contextual mining of text which identifies and extracts subjective information in the source material.
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