A novel evolutionary approach for learning syntactic features for cross domain opinion target extraction-Reference-Cited by-同舟云学术

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A novel evolutionary approach for learning syntactic features for cross domain opinion target extraction

Published:2021-04 Issue: Volume:102 Page:107086
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Anand Deepa,Mampilli Bonson Sebastian

Publisher

Elsevier BV

Subject

Software

Reference30 articles.

1. Sentiment analysis and subjectivity.;Liu,2010

2. Opinion word expansion and target extraction through double propagation;Qiu;Comput. Linguist.,2011

3. Mining and summarizing customer reviews;Hu,2004

4. Automated rule selection for aspect extraction in opinion mining;Liu,2015

5. Mining and summarizing customer reviews;Hu,2004

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1. Soft prompt enhanced joint learning for cross-domain aspect-based sentiment analysis;Intelligent Systems with Applications;2023-11

2. Automatic Rule Definition for Pattern-Based Text Mining;2023 IEEE International Conference on Big Data and Smart Computing (BigComp);2023-02

3. Aspect-Opinion Correlation Aware and Knowledge-Expansion Few Shot Cross-Domain Sentiment Classification;IEEE Transactions on Affective Computing;2022-10-01

4. Extended rule-based opinion target extraction with a novel text pre-processing method and ensemble learning;Applied Soft Computing;2022-03

5. A Model for Cross-Domain Opinion Target Extraction in Sentiment Analysis;Computer Systems Science and Engineering;2022

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