Lost in Translation: Slang, Search and Social
Slang. Sarcasm. Irony. We use it every day, whether we’re speaking, messaging, tweeting or posting. It’s a language of its own, built around context and inflection.
But what does “irony” look like to an algorithm? How do you build technology that recognizes a digital sneer, acknowledges sentiment, and – with a human ear – ‘gets’ grammatically imprecise, conversational, nuanced speech? How do you teach engines to understand context – and the parallels between proper speech and the slang we all use?
Find out how Natural Language Processing (NLP) is tackling context in search and social media in a session with two of the web’s leading social analytics and linguistics technologists, Howard Lau and Farzad Ehsani. During their discussion, each will offer insights into the future of social sentiment analysis, online search and data discovery – and what people are really saying online.
Presenters
Farzad Ehsani
Founder & CEO
Fluential

Howard Lau
CEO & Chairman of Attensity
Attensity
Howard Lau possesses more than 25 years of experience in the business software sector and an extensive background in investments and operations. A Founding Executive at SAP Labs and SAP Ventures, h...
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