Sentic patterns: Dependency-based rules for concept-level sentiment analysis

@article{Poria2014SenticPD,
  title={Sentic patterns: Dependency-based rules for concept-level sentiment analysis},
  author={Soujanya Poria and Erik Cambria and Gr{\'e}goire Winterstein and Guang-Bin Huang},
  journal={Knowl.-Based Syst.},
  year={2014},
  volume={69},
  pages={45-63}
}
The Web is evolving through an era where the opinions of users are getting increasingly important and valuable. The distillation of knowledge from the huge amount of unstructured information on the Web can be a key factor for tasks such as social media marketing, branding, product positioning, and corporate reputation management. These online social data, however, remain hardly accessible to computers, as they are specifically meant for human consumption. The automatic analysis of online… CONTINUE READING
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