Mining Comparative Sentences and Relations

By Nitin Jindal, B. Liu. AAAI Conference on Artificial Intelligence, 2006

437 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/9e0912807f1f6891188d1006f550d446886adc93

How researchers see this paper

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

1. Bing Liu
2. B. Liu
3. Lei Zhang
4. Shiliang Sun
5. Duyu Tang
6. Bo Pang
7. Philip S. Yu
8. Li Chen

Citations in the corpus

• Identifying comparative sentences in text documents (2006, unknown): “This extraction problem is studied in [12].”
• Recommender systems based on user reviews: the state of the art (2015, background): “Comparative opinions: Another type of opinion that can be extracted from reviews is comparative opinion (Jindal and Liu 2006), such as the sentence “Bed was comfortable, perhaps not as good as some St.”
• Aspect term extraction for sentiment analysis in large movie reviews using Gini Index feature selection method and SVM classifier (2016, background): “A sentiment expressed by comparing multiple aspects based on some of their shared attributes is a comparative opinion [8].”
• A Survey of Opinion Mining and Sentiment Analysis (2012, methodology): “See [37, 24, 18] for some existing methods for performing sentiment analysis of comparative sentences, i.”
• Sentiment Analysis and Subjectivity (2010, methodology): “”? So far, little research has been done in this direction although the work in [29, 38, 39] can be of use in this context.”
• Detection of Harassment on Web 2.0 (2009, background): “Extensive work [5, 4, 7, 6] has been done in mining user opinions on products.”
• Sentiment analysis: A review and comparative analysis of web services (2015, background): “On the other hand, comparative sentences express the resemblance between entities considering common aspects or features [32,33,100].”
• A holistic lexicon-based approach to opinion mining (2008, result): “[14] studies the extraction of comparative sentences and relations, which is different from this work as we do not deal with comparative sentences in this research.”
• Mining Opinions in Comparative Sentences (2008, methodology): “The original dataset used in (Jindal and Liu 2006) also contains many non-gradable comparative sentences, which are not used here as most such sentences do not express any preferences.”
• Opinion Mining and Sentiment Analysis (2008, background): “Additional problems related to the determination of degree of positivity surround the analysis of comparative sentences [139].”
• Sentiment Analysis and Opinion Mining (2012, methodology): “The method in Jindal et al. (2010) finds four types of unexpected rules based on four unexpectedness definitions.”
• A review of natural language processing techniques for opinion mining systems (2017, methodology): “Liu [2] provided a comprehensive review of NLP and opinion mining on the definition of opinion mining, different levels of opinion mining, summarization, lexicon creation, spam detection, opinion quality measurement and so on.”
• Overview of Touché 2022: Argument Retrieval (2022, unknown): “Comparative sentences are then identified and mined from product reviews in favor or against one or the other product using opinion mining approaches [39, 40, 42].”