Automated Rule Selection for Aspect Extraction in Opinion Mining

By Qian Liu, Zhiqiang Gao, Bing-Quan Liu, Yuanlin Zhang. 2015

162 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Chen Luo
2. Junyu Chen
3. Shiliang Sun
4. Nianzu Ma
5. Ringki Das
6. Thoudam Doren Singh
7. Bing Liu
8. Zixuan Ke

Citations in the corpus

• Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning (2021, methodology): “The datasets are from 4 sources: (1) HL5Domains [17] with reviews of 5 products; (2) Liu3Domains [32] with reviews of 3 products; (3) Ding9Domains [9] with reviews of 9 products; and (4) SemEval14 with reviews of 2 products - SemEval 2014 Task 4 for laptop and restaurant.”
• Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks (2021, methodology): “The datasets are from 4 sources: (1) HL5Domains (Hu and Liu, 2004) with reviews of 5 products; (2) Liu3Domains (Liu et al., 2015) with reviews of 3 products; (3) Ding9Domains (Ding et al., 2008) with reviews of 9 products; and (4) SemEval14 with reviews of 2 products - Se-mEval 2014 Task 4 for lapto”
• EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks (2019, neutral): “, 2013), (2) CR: customer reviews (Hu and Liu, 2004; Liu et al., 2015), (3) SUBJ: subjectivity/objectivity dataset (Pang and Lee, 2004), (4) TREC: question type dataset (Li and Roth, 2002), and (5) PC: Pro-Con dataset (Ganapathibhotla and Liu, 2008).”
• Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges (2023, background): “Because of covering most of the topics in natural language processing (NLP), Liu [7] describes sentiment analysis as "mini-NLP.”
• A review of natural language processing techniques for opinion mining systems (2017, methodology): “Recently, an automatic rule selection method was presented in [87] which can select an effective subset of all rules with performance even better than the full rule set.”
• Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research (2020, unknown): “Proposed approaches for aspect extraction include rule-based strategies (Qiu et al., 2011; Liu et al., 2015), topic models (Mei et al.”