Showing results 37 to 56 of 58
< previous
next >
| Issue Date | Title | Author(s) |
| | 2018 | OntoSenticNet : a commonsense ontology for sentiment analysis | Dragoni, Mauro; Poria, Soujanya; Cambria, Erik |
| | 2021 | Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning | Peng, Haiyun; Ma, Yukun; Poria, Soujanya; Li, Yang; Cambria, Erik |
| | 2020 | Popularity prediction on vacation rental websites | Li, Yang; Wang, Suhang; Ma, Yukun; Pan, Quan; Cambria, Erik |
| | 2020 | Predicting political sentiments of voters from Twitter in multi-party contexts | Khatua, Aparup; Khatua, Apalak; Cambria, Erik |
| | 2018 | Public mood – driven asset allocation : the importance of financial sentiment in portfolio management | Malandri, Lorenzo; Xing, Frank Z.; Orsenigo, Carlotta; Vercellis, Carlo; Cambria, Erik |
| | 2020 | Recent trends in deep learning based personality detection | Mehta, Yash; Majumder, Navonil; Gelbukh, Alexander; Cambria, Erik |
| | 2018 | Relation extraction of medical concepts using categorization and sentiment analysis | Mondal, Anupam; Cambria, Erik; Das, Dipankar; Hussain, Amir; Bandyopadhyay, Sivaji |
| | 2020 | A review of emotion sensing: categorization models and algorithms | Wang, Zhaoxia; Ho, Seng-Beng; Cambria, Erik |
| | 2020 | A review of sentiment analysis research in Arabic language | Oueslati, Oumaima; Cambria, Erik; HajHmida, Moez Ben; Ounelli, Habib |
 | 2022 | Saving earth one tweet at a time through the lens of artificial intelligence | Duong, Cuc; Liu, Qian; Mao, Rui; Cambria, Erik |
| | 2023 | Semantic matching in machine reading comprehension: an empirical study | Liu, Qian; Mao, Rui; Geng, Xiubo; Cambria, Erik |
| 2014 | Sentic API: A common-sense based API for concept-level sentiment analysis | Cambria, Erik; Poria, Soujanya; Gelbukh, Alexander; Kwok, Kenneth |
| | 2018 | Sentic LSTM : a hybrid network for targeted aspect-based sentiment analysis | Ma, Yukun; Peng, Haiyun; Khan, Tahir; Cambria, Erik; Hussain, Amir |
| | 2019 | Sentiment-aware volatility forecasting | Xing, Frank Z.; Cambria, Erik; Zhang, Yue |
| | 2021 | Sequential fusion of facial appearance and dynamics for depression recognition | Chen, Qian; Chaturvedi, Iti; Ji, Shaoxiong; Cambria, Erik |
| | 2022 | Soft labeling constraint for generalizing from sentiments in single domain | Roy, Abhinaba; Cambria, Erik |
| | 2022 | Suicidal ideation and mental disorder detection with attentive relation networks | Ji, Shaoxiong; Li, Xue; Huang, Zi; Cambria, Erik |
| 2019 | A survey on deep learning in image polarity detection : balancing generalization performances and computational costs | Ragusa, Edoardo; Cambria, Erik; Zunino, Rodolfo; Gastaldo, Paolo |
| | 2020 | A survey on empathetic dialogue systems | Ma, Yukun; Nguyen, Khanh Linh; Xing, Frank Z.; Cambria, Erik |
| | 2021 | Taylor's theorem: a new perspective for neural tensor networks | Li, Wei; Zhu, Luyao; Cambria, Erik |
