Sentiment Analysis

Sentiment analysis is the task of computationally categorizing opinions expressed in a piece of text in order to determine if the authors attitude towards a particular topic is positive, negative, or neutral.

Analysis of Inter-Domain and Cross-Domain Drug Review Polarity Classification. Gurdin, Gabrielle, Jorge A. Vargas, Luke G. Maffey, Amy L. Olex, Nastassja A. Lewinski, and Bridget T. McInnes. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science 2020 (2020): 201-210.
Quantifying the Sentiment of Online Drug Reviews. Gabrielle Gurdin, Jorge Vargas, Nastassja A. Lewinski and Bridget T. McInnes. Grace Hopper Celebration, 2019. (poster presentation).
Sentiment Classification from Multi-Class Imbalanced Twitter Data using Binarization. Bartosz Krawczyk, Bridget McInnes and Alberto Cano. In Proceedings of the 12th International Conference on Hybrid Artificial Intelligent Systems (HAIS), 2017.
VCU-TSA at Semeval-2016 Task 4: Sentiment Analysis in Twitter. Gerard Briones, Kasun Amarasinghe and Bridget T. McInnes. Appears in the Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval), June 2016.

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