IBM Watson Now Available to Developers on Bluemix PaaS

User Modeling, which uses linguistic analytics to extract a set of personality and social traits from the way a person communicates. It can analyze public communication, including text messages, tweets, posts and email.

Machine Translation, which converts text input in one language into a destination language. Translation is so far available in English, Brazilian Portuguese, Spanish and French.

Language Identification, which detects the language in which text is written. Its goal is to inform the next steps, such as translation, voice-to-text, or direct analysis. It currently can identify 15 languages.

Concept Expansion, which analyzes text and interprets its meaning based on usage in similar contexts. Take, for instance, its ability to interpret “The Big Apple” as “New York City.”

Message Resonance, which analyzes draft content and scores how well it is likely to be received by a specific target audience.

Relationship Extraction, which parses sentences into components and detects relationships between those components. It maps relationships between the components so users or analytic engines can more easily understand the meaning of individual sentences and documents.

Question & Answer, which interprets and answers user questions directly based on primary data sources that have been selected and gathered into a body or “corpus.” The service returns candidate responses with associated confidence levels and links to supporting evidence.

Visualization Rendering, which takes input data and graphically renders it as an interactive visualization in a variety of formats.