Showing results 22 to 41 of 58
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| Issue Date | Title | Author(s) |
| | 2019 | Growing semantic vines for robust asset allocation | Xing, Frank Z.; Cambria, Erik; Welsch, Roy E. |
| | 2020 | How intense are you? Predicting intensities of emotions and sentiments using stacked ensemble [application notes] | Akhtar, M. S.; Ekbal, A.; Cambria, Erik |
| | 2019 | Inconsistencies on TripAdvisor reviews : a unified index between users and Sentiment Analysis Methods | Valdivia, Ana; Hrabova, Emiliya; Chaturvedi, Iti; Luzón, M. Victoria; Troiano, Luigi; Cambria, Erik; Herrera, Francisco |
| | 2018 | Intelligent asset allocation via market sentiment views | Xing, Frank Z.; Cambria, Erik; Welsch, Roy E. |
| | 2019 | Learning binary codes with neural collaborative filtering for efficient recommendation systems | Li, Yang; Wang, Suhang; Pan, Quan; Peng, Haiyun; Yang, Tao; Cambria, Erik |
| | 2018 | Learning multi-grained aspect target sequence for Chinese sentiment analysis | Peng, Haiyun; Ma, Yukun; Li, Yang; Cambria, Erik |
| | 2019 | Learning with similarity functions : a tensor-based framework | Ragusa, Edoardo; Gastaldo, Paolo; Zunino, Rodolfo; Cambria, Erik |
| | 2022 | Meta-based self-training and re-weighting for aspect-based sentiment analysis | He, Kai; Mao, Rui; Gong, Tieliang; Li, Chen; Cambria, Erik |
| | 2022 | MetaPro: a computational metaphor processing model for text pre-processing | Mao, Rui; Li, Xiao; Ge, Mengshi; Cambria, Erik |
| | 2019 | Modelling customer satisfaction from online reviews using ensemble neural network and effect-based Kano model | Bi, Jian-Wu; Liu, Yang; Fan, Zhi-Ping; Cambria, Erik |
| | 2022 | Mood of the Planet: challenging visions of big data in the arts | Sorensen, Vibeke; Lansing, J. Stephen; Thummanapalli, Nagaraju; Cambria, Erik |
 | 2018 | Multimodal sentiment analysis : addressing key issues and setting up the baselines | Poria, Soujanya; Majumder, Navonil; Hazarika, Devamanyu; Cambria, Erik; Gelbukh, Alexander; Hussain, Amir |
| | 2018 | Multimodal sentiment analysis using hierarchical fusion with context modeling | Majumder, Navonil; Hazarika, Devamanyu; Gelbukh, Alexander; Cambria, Erik; Poria, Soujanya |
| | 2017 | Natural language based financial forecasting : a survey | Xing, Frank Z.; Cambria, Erik; Welsch, Roy E. |
| | 2021 | A novel context-aware multimodal framework for persian sentiment analysis | Dashtipour, Kia; Gogate, Mandar; Cambria, Erik; Hussain, Amir |
| | 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 |
