Rule-Based Approach for Party-Based Sentiment Analysis in Legal Opinion Texts

@inproceedings{rajapaksha2020rule,
  title={{Rule-Based Approach for Party-Based Sentiment Analysis in Legal Opinion Texts}},
  author={Rajapaksha, Isanka and Mudalige, Chanika Ruchini and Karunarathna, Dilini and de Silva, Nisansa and Rathnayaka, Gathika and Perera, Amal Shehan},
  booktitle={2020 20th International Conference on Advances in ICT for Emerging Regions (ICTer)},
  pages={284--285},
  year={2020},
  organization={IEEE},
  abstract={Aspect Based Sentiment Analysis (ABSA) deals with extracting aspects from a given text and then allocate each aspect a sentiment level (positive, negative or neutral) [1]. A number of researchers have addressed ABSA in different domains except for the legal domain. In this study, we explore how the concepts related to aspect-based sentiment analysis can be used in the legal domain to extract valuable information from legal opinion text. To this regard, we propose a rule based approach to perform aspect-based sentiment analysis in order to figure out the sentiment level of a sentence in relation to each legal party related to a court case (considering the legal parties as the aspects).},
  misc={https://bit.ly/2USPmxO,NLP:ML:LAW,https://i1.rgstatic.net/publication/345756860_Rule-Based_Approach_for_Party-Based_Sentiment_Analysis_in_Legal_Opinion_Texts/links/5fc5ebeaa6fdcce952693061/largepreview.png},
  doi={10.1109/ICTer51097.2020.9325435}
}