Research Output
SenticNet: A publicly available semantic resource for opinion mining
  Today millions of web-users express their opinions about many topics through blogs, wikis, fora, chats and social networks. For sectors such as e-commerce and e-tourism, it is very useful to automatically analyze the huge amount of social information available on the Web, but the extremely unstructured nature of these contents makes it a difficult task. SenticNet is a publicly available resource for opinion mining built exploiting AI and Semantic Web techniques. It uses dimensionality reduction to infer the polarity of common sense concepts and hence provide a public resource for mining opinions from natural language text at a semantic, rather than just syntactic, level.

  • Date:

    31 December 2010

  • Publication Status:

    Published

  • Publisher

    Association for the Advancement of Artificial Intelligence

  • Funders:

    Historic Funder (pre-Worktribe)

Citation

Cambria, E., Speer, R., Havasi, C., & Hussain, A. (2010). SenticNet: A publicly available semantic resource for opinion mining. In Commonsense knowledge: Papers from the AAAI Fall Symposium, 14-18

Authors

Keywords

opinion mining; semantic web; AI

Monthly Views:

Available Documents