ESWC'14 Challenge on Concept-Level Sentiment Analysis

摘要: With the introduction of social networks, blogs, wikis, etc., users’ behavior and their interaction in Web have changed. As a consequence, people express opinions sentiments totally different way with respect to past. All this information hinders potential business opportunities, especially within advertising world, key stakeholders need catch up latest technology if they want be at forefront market. In practical terms, automatic analysis online involves deep understanding natural language text, it has been proved that use semantics improves accuracy existing sentiment systems based on classical machine learning or statistical approaches. To end, Concept Level Sentiment Analysis challenge aims provide push direction offering researchers an event where can learn new approaches for employment Semantic features bringing better performance higher accuracy. The go beyond mere word-level text provides novel methods process opinion data from unstructured textual structured machine-processable data.