Seguir
Alexander Gelbukh
Título
Citado por
Citado por
Año
Aspect extraction for opinion mining with a deep convolutional neural network
S Poria, E Cambria, A Gelbukh
Knowledge-Based Systems 108, 42-49, 2016
9812016
DialogueRNN: An attentive RNN for emotion detection in conversations
N Majumder, S Poria, D Hazarika, R Mihalcea, A Gelbukh, E Cambria
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6818-6825, 2019
7312019
Deep learning-based document modeling for personality detection from text
N Majumder, S Poria, A Gelbukh, E Cambria
IEEE intelligent systems 32 (2), 74-79, 2017
6342017
Deep convolutional neural network textual features and multiple kernel learning for utterance-level multimodal sentiment analysis
S Poria, E Cambria, A Gelbukh
Proceedings of the 2015 conference on empirical methods in natural language …, 2015
5912015
DialogueGCN: A graph convolutional neural network for emotion recognition in conversation
D Ghosal, N Majumder, S Poria, N Chhaya, A Gelbukh
arXiv preprint arXiv:1908.11540, 2019
5652019
Soft similarity and soft cosine measure: Similarity of features in vector space model
G Sidorov, A Gelbukh, H Gómez-Adorno, D Pinto
Computación y Sistemas 18 (3), 491-504, 2014
5402014
Sentiment analysis is a big suitcase
E Cambria, S Poria, A Gelbukh, M Thelwall
IEEE Intelligent Systems 32 (6), 74-80, 2017
4722017
Syntactic n-grams as machine learning features for natural language processing
G Sidorov, F Velasquez, E Stamatatos, A Gelbukh, ...
Expert Systems with Applications 41 (3), 853-860, 2014
4612014
A Rule-Based Approach to Aspect Extraction from Product Reviews
S Poria, E Cambria, LW Ku, C Gui, A Gelbukh
COLING 2014 Workshop on Natural Language Processing for Social Media …, 2014
3722014
Multimodal sentiment analysis using hierarchical fusion with context modeling
N Majumder, D Hazarika, A Gelbukh, E Cambria, S Poria
Knowledge-based systems 161, 124-133, 2018
3462018
Recent trends in deep learning based personality detection
Y Mehta, N Majumder, A Gelbukh, E Cambria
Artificial Intelligence Review 53, 2313-2339, 2020
3422020
Multilingual sentiment analysis: state of the art and independent comparison of techniques
K Dashtipour, S Poria, A Hussain, E Cambria, AYA Hawalah, A Gelbukh, ...
Cognitive computation 8, 757-771, 2016
3282016
Cosmic: Commonsense knowledge for emotion identification in conversations
D Ghosal, N Majumder, A Gelbukh, R Mihalcea, S Poria
arXiv preprint arXiv:2010.02795, 2020
2972020
Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining
S Poria, A Gelbukh, A Hussain, N Howard, D Das, S Bandyopadhyay
IEEE Intelligent Systems, 2013
2692013
Sentiment and Sarcasm Classification with Multitask Learning
N Majumder, S Poria, H Peng, N Chhaya, E Cambria, A Gelbukh
IEEE Intelligent Systems 34 (3), 38–43, 2019
2272019
Empirical study of machine learning based approach for opinion mining in tweets
G Sidorov, S Miranda-Jiménez, F Viveros-Jiménez, A Gelbukh, ...
Advances in Artificial Intelligence: 11th Mexican International Conference …, 2013
2232013
Multimodal sentiment analysis: Addressing key issues and setting up the baselines
S Poria, N Majumder, D Hazarika, E Cambria, A Gelbukh, A Hussain
IEEE Intelligent Systems 33 (6), 17-25, 2018
2022018
EmoSenticSpace: A novel framework for affective common-sense reasoning
S Poria, A Gelbukh, E Cambria, A Hussain, GB Huang
Knowledge-Based Systems 69, 108-123, 2014
2012014
MIME: MIMicking emotions for empathetic response generation
N Majumder, P Hong, S Peng, J Lu, D Ghosal, A Gelbukh, R Mihalcea, ...
arXiv preprint arXiv:2010.01454, 2020
1882020
Aggression detection in social media: Using deep neural networks, data augmentation, and pseudo labeling
ST Aroyehun, A Gelbukh
Proceedings of the first workshop on trolling, aggression and cyberbullying …, 2018
1862018
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20