Weakly Supervised Joint Sentiment-Topic Detection from Text

By Chenghua Lin, Yulan He, Richard M. Everson, Stefan M. Rüger. IEEE Transactions on Knowledge and Data Engineering, 2012

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Dirichlet-Derived Multiple Topic Scene Classification Model for High Spatial Resolution Remote Sensing Imagery (2016, methodology): “In the family of PTMs, LDA is a fully probabilistic generative model that has been successfully applied in different fields, such as the learning of terminological ontologies [32], sentiment analysis in text [33], and natural image classification [34].”
Topic modelling for qualitative studies (2017, methodology): “The same idea has also been used in recent works on LDA extensions to sentiment analysis [34, 35]: sentiment words from a predefined dictionary are assigned asymmetric beta priors that reflect prior knowledge and make specific sentiment labels for those words more likely.”