@article{a1,
  title   = {Thumbs up? Sentiment classification using machine learning techniques},
  author  = {Pang, Bo and Lee, Lillian and Vaithyanathan, Shivakumar},
  journal = {arXiv preprint cs/0205070},
  year    = {2002}
}

@inproceedings{i2,
  title        = {What Emotions Make One or Five Stars? Understanding Ratings of Online Product Reviews by Sentiment Analysis and XAI},
  author       = {So, Chaehan},
  booktitle    = {International Conference on Human-Computer Interaction},
  pages        = {412--421},
  year         = {2020},
  organization = {Springer}
}

@article{a3,
  title     = {Sentiment analysis based multi-person multi-criteria decision making methodology using natural language processing and deep learning for smarter decision aid. Case study of restaurant choice using TripAdvisor reviews},
  author    = {Zuheros, Cristina and Mart{\'\i}nez-C{\'a}mara, Eugenio and Herrera-Viedma, Enrique and Herrera, Francisco},
  journal   = {Information Fusion},
  volume    = {68},
  pages     = {22--36},
  year      = {2021},
  publisher = {Elsevier}
}

@inproceedings{i4,
  title        = {Predicting Success of a Movie from YouTube Trailer Comments using Sentiment Analysis},
  author       = {Timani, Heena and Shah, Parag and Joshi, Mansi},
  booktitle    = {2019 6th International Conference on Computing for Sustainable Global Development (INDIACom)},
  pages        = {584--586},
  year         = {2019},
  organization = {IEEE}
}
@inproceedings{i5,
  title        = {Research on product review analysis and spam review detection},
  author       = {Chauhan, Shashank Kumar and Goel, Anupam and Goel, Prafull and Chauhan, Avishkar and Gurve, Mahendra K},
  booktitle    = {2017 4th International Conference on Signal Processing and Integrated Networks (SPIN)},
  pages        = {390--393},
  year         = {2017},
  organization = {IEEE}
}

@article{a6,
  title   = {基于 SVM 和 CRF 多特征组合的微博情感分析},
  author  = {李婷婷 and 姬东鸿},
  journal = {计算机应用研究},
  volume  = {32},
  number  = {4},
  pages   = {978--981},
  year    = {2015}
}

@masterthesis{m7,
  title   = {扩展词典与规则结合的微博情感分类研究},
  author  = {郝苗},
  address = {杭州},
  year    = {2020},
  school  = {杭州电子科技大学}
}


@masterthesis{m8,
  author  = {季鹏飞},
  title   = {基于情感词典扩展的微博话题观点句挖掘},
  school  = {安徽理工大学},
  address = {淮南},
  year    = {2020},
  month   = {}
}


@article{a9,
  title   = {基于情感本体的在线评论情感极性及强度分析: 以手机为例},
  author  = {郑丽娟 and 王洪伟},
  journal = {管理工程学报},
  volume  = {31},
  number  = {2},
  pages   = {47--54},
  year    = {2017}
}

@masterthesis{m10,
  title   = {基于特征细分的中文情感分析研究},
  author  = {陈慧},
  year    = {2018},
  address = {上海},
  school  = {上海师范大学}
}

@masterthesis{m11,
  title   = {基于机器学习的老年手机用户中文评论情感分析},
  author  = {高思梦},
  year    = {2019},
  address = {兰州},
  school  = {兰州财经大学}
}

@masterthesis{m12,
  author  = {吴杰胜},
  title   = {基于多部情感词典和深度学习的中文微博情感分析研究},
  school  = {安徽理工大学},
  address = {淮南},
  year    = {2020},
  month   = {}
}