NLP for Social Media

The widespread adoption of social media is based on tapping into the social nature of human interactions, by making it possible for people to voice their opinion, become part of a virtual community and collaborate remotely. If we take micro-blogging as an example, Twitter has over 300 million active users, posting millions of tweets daily.1

Engaging actively with such high-value, high-volume, brief life-span media streams has now become a daily challenge for both organizations and ordinary people. Automating this process through intelligent, semantic-based information access methods is therefore increasingly needed. This is an emerging research area, combining methods from many fields, in addition to semantic technologies, ...

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