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Twinword Inc., a member company of the K-ICT Born2Global Centre, announced on Nov. 30 the listing of eight of its inference models on the new Amazon Web Services (AWS) Marketplace for Machine Learning.

Twinword's inference models can now be discovered and obtained from the Amazon SageMaker console, as well as from AWS Marketplace for Machine Learning, and can then easily be moved to Amazon SageMaker. Amazon SageMaker is a fully-managed platform that allows developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.

The following Twinword inference models can now be found on AWS Marketplace for Machine Learning: Category Recommendation; Emotion Analysis; Language Scoring; Lemmatizer; Sentiment Analysis; Text Similarity; Topic Tagging; Word Associations.

Twinword Inc. has successfully developed inference models that incorporate natural language processing. With the listing on AWS Marketplace for Machine Learning, Twinword makes it possible for consumers to access and deploy their inference models on Amazon SageMaker. By doing so, the company hopes to help businesses build software that reads and understands text through Twinword.

The Emotion Analysis API from Twinword, a South Korean startup, enables a comapny to identify six different emotions of its customers.

Twinword Inc., a member company of the K-ICT Born2Global Centre, announced on Sept. 17 the launch of its newest application programming interface (API), the Emotion Analysis API. The API is now available on Amazon Web Services (AWS) Marketplace and Mashape and can identify six different emotions that cover the full spectrum of emotions: joy, anger, sadness, disgust, surprise, and fear.

With the ability to detect those emotions in a paragraph of text, it opens up new possibilities for any business. Specifically, this API helps marketers to measure and analyze user experience in a completely new way and enables companies to customize their app or website according to their customer's emotions. For example, it could be used to implement auto-suggested or pre-filtered emojis in messaging apps, so users can easily find the emojis that fit the emotion of their message.

"The need for emotion analysis is continuously growing due to the high importance of user experience," emphasized Kono Kim, CEO of Twinword. "With the development of our Emotion Analysis API we are excited to offer the opportunity for any business to improve the satisfaction of their customers."

Generally, emotion analysis presents endless possibilities, and a research paper from Tractica, "Emotion Recognition and Sentiment Analysis," forecasts an exponential usage of analysis software driven by industries such as retail, advertising, business services, healthcare and gaming, with top use cases being customer experience, product/market research and customer service.

APIs are operating systems or interfaces in an application program that simplify the process for developers to utilize certain technologies. Twinword Inc. has successfully developed several APIs that are connected to natural language processing, such as a Text Similarity and a Word Associations API. With the development of the Emotion Analysis API, Twinword Inc. took the next step to facilitate businesses to build software that reads and understands written text through Twinword API.

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