eC / MIT Press / Google / Common sense / Wilson / Yahoo / /
Country
United Kingdom / / /
Facility
Northwestern University / To bridge / University of Florida / Sentiment Analysis Erik Cambria Catherine Havasi Amir Hussain National University of Singapore Singapore / University of Stirling Stirling / Building SenticNet / keeping on developing SenticNet / /
IndustryTerm
semantic network / opinion mining / graph mining / social data mining / web forums / affective computing / dot product / Web API / odd operator / real-time adaptive applications / web-derived polarity lexicons / food / real-world applications / web-contents / affect-sensitive applications / Web techniques / sentic computing / multilingual semantic network / intelligent applications / search engines / information retrieval tools / pre-processing module / natural language processing / computing / social media contents / online feedback service / search results / social media marketing / online opinions / web-page / identified using the ConceptNet Web API / /
MarketIndex
set 10 / set 2000 / /
Organization
Center for Research / National University of Singapore / MIT / Northwestern University / UK national health service / IDF / Association for the Advancement / Spectral Association Spectral association / Artificial Copyright Intelligence / University of Stirling Stirling / Opinion Mining and Sentiment Analysis Erik Cambria Catherine Havasi Amir Hussain National University / University of Florida / NHS / /
Person
Erik Cambria Catherine Havasi Amir Hussain / Cambria / / /
XML / AV / keyword-based algorithms / API / Machine Learning / natural language processing / artificial intelligence / automatic identification / DNA Chip / data mining / RDF / virtual community / /
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference SenticNet 2: A Semantic and Affective Resource for Opinion Mining and Sentiment Analysis Erik Cambria