Papers with TDM-DC

1 papers
Hybrid Models for Aspects Extraction without Labelled Dataset (D19-66)

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Challenge: Existing methods to extract aspects from opinions focus on explicit aspects, but sentences do not state them explicitly.
Approach: They propose to use a dictionary-based approach to identify and extract aspects from opinions . they propose to combine topic modelling and dictionary--based method .
Outcome: The proposed models outperform baseline topic model and dictionary-based approach in 58.70% of the evaluations.

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