Sentiment information Extraction of comparative sentences based on CRF model
Computer Science and Information Systems, Tome 14 (2017) no. 3.

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Comparative information mining is an important research topic in the sentiment analysis community. A comparative sentence expresses at least one similarity or difference relation between two objects. For example, the comparative sentence “The space of car A is bigger than that of car B and car C” expresses two comparative relations and . This paper introduces conditional random fields model to extract Chinese comparative information and focuses on the task of element extraction from comparative sentences. We use the conditional random fields model to combine diverse lexical, syntactic and semantic features derived from the texts. Experiments show that the proposed method is competitive and domain-independent, with promising results.
Keywords: information extraction, comparative sentence, comparative element
@article{CSIS_2017_14_3_a17,
     author = {Wei Wang and Guodong Xin and Bailing Wang and Junheng Huang and Yang Liu},
     title = {Sentiment information {Extraction} of comparative sentences based on {CRF} model},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {14},
     number = {3},
     year = {2017},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2017_14_3_a17/}
}
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AU  - Guodong Xin
AU  - Bailing Wang
AU  - Junheng Huang
AU  - Yang Liu
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PY  - 2017
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%U http://geodesic.mathdoc.fr/item/CSIS_2017_14_3_a17/
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Wei Wang; Guodong Xin; Bailing Wang; Junheng Huang; Yang Liu. Sentiment information Extraction of comparative sentences based on CRF model. Computer Science and Information Systems, Tome 14 (2017) no. 3. http://geodesic.mathdoc.fr/item/CSIS_2017_14_3_a17/