Items where Subject is "46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460208 Natural language processing"

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Number of items at this level: 17.

C

Chaturvedi, Iti, Cambria, Erik, Cavallari, Sandro, and Welsch, Roy E. (2020) Genetic programming for domain adaptation in product reviews. In: Proceedings of the IEEE Congress on Evolutionary Computation. From: CEC 2020: IEEE Congress on Evolutionary Computation, 19-24 July 2020, Glasgow, UK.

Chaturvedi, Iti, Satapathy, Ranjan, Cavallari, Sandro, and Cambria, Erik (2019) Fuzzy commonsense reasoning for multimodal sentiment analysis. Pattern Recognition Letters, 125. pp. 264-270.

Chaturvedi, Iti, Ragusa, Edoardo, Gastaldo, Paolo, Zunino, Rodolfo, and Cambria, Erik (2018) Bayesian network based extreme learning machine for subjectivity detection. Journal of The Franklin Institute, 355 (4). pp. 1780-1797.

Chaturvedi, Iti, Cambria, Erik, Welsch, Roy, and Herrera, Francisco (2018) Distinguishing between facts and opinions for sentiment analysis: survey and challenges. Information Fusion, 44. pp. 65-77.

Chaturvedi, Iti, Cambria, Erik, Poria, Soujanya, and Bajpai, Rajiv (2016) Bayesian deep convolution belief networks for subjectivity detection. In: Proceedings of the IEEE International Conference on Data Mining Workshops. 7836765. pp. 916-923. From: ICDMW 2016: 16th International Conference on Data Mining Workshops, 12-15 December 2015, Barcelona, Spain.

Chaturvedi, Iti, Ong, Yew-Soon, Tsang, Ivor W., Welsch, Roy E., and Cambria, Erik (2016) Learning word dependencies in text by means of a deep recurrent belief network. Knowledge Based Systems, 108. pp. 144-154.

Chaturvedi, Iti, Cambria, Erik, and Vilares, David (2016) Lyapunov filtering of objectivity for Spanish sentiment model. In: Proceedings of the International Joint Conference on Neural Networks. pp. 4474-4481. From: IJCNN: 2016 International Joint Conference on Neural Networks, 24-29 July 2016, Vancouver, Canada.

K

Khatua, Aparup, Cambria, Erik, Khatua, Apalak, and Chaturvedi, Iti (2017) Let's chat about Brexit! A politically-sensitive dialog system based on Twitter data. In: Proceedings of the IEEE International Conference on Data Mining Workshops. pp. 393-398. From: ICDMW 2017: 17th IEEE International Conference on Data Mining Workshops, 18-21 November 2017, New Orleans, LA, USA.

L

Liu, Sisi, and Lee, Ickjai (2019) Extracting features with medical sentiment lexicon and position encoding for drug reviews. Health Information Science and Systems, 7 (11).

Lei, Lei, Qi, Jiaju, and Zheng, Kan (2019) Patent analytics based on feature Vector Space Model: a case of IoT. IEEE Access, 7. pp. 45705-45715.

M

Mondal, Anupam, Chaturvedi, Iti, Das, Dipankar, Bajpai, Rajiv, and Bandyopadhyay, Sivaji (2016) Lexical resource for medical events: a polarity based approach. In: Proceedings of the IEEE International Conference on Data Mining Workshops. pp. 1302-1309. From: ICDMW 2015: 15th IEEE International Conference on Data Mining Workshops, 14-17 November 2015, Atlantic City, NY, USA.

P

Poria, Soujanya, Chaturvedi, Iti, Cambria, Erik, and Bisio, Federica (2016) Sentic LDA: improving on LDA with semantic similarity for aspect-based sentiment analysis. In: Proceedings of the International Joint Conference on Neural Networks. pp. 4465-4473. From: IJCNN: 2016 International Joint Conference on Neural Networks, 24-29 July 2016, Vancouver, Canada.

S

Satapathy, Ranjan, Guerreiro, Claudia, Chaturvedi, Iti, and Cambria, Erik (2017) Phonetic-based microtext normalization for Twitter sentiment analysis. In: Proceedings of the IEEE International Conference on Data Mining Workshops. pp. 407-413. From: ICDMW 2017: 17th IEEE International Conference on Data Mining Workshops, 18-21 November 2017, New Orleans, LA, USA.

Satapathy, Ranjan, Chaturvedi, Iti, Cambria, Erik, Ho, Shirley S., and Na, Jin Cheon (2017) Subjectivity detection in nuclear energy tweets. Computacion y Sistemas, 21 (4). pp. 657-664.

V

Valdivia, Ana, Martínez-Cámara, Eugenio, Chaturvedi, Iti, Luzón, M. Victoria, Cambria, Erik, Ong, Yew Soon, and Herrera, Francisco (2020) What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules. Journal of Ambient Intelligence and Humanized Computing, 11. pp. 39-52.

Valdivia, Ana, Hrabova, Emiliya, Chaturvedi, Iti, Luzón, M. Victoria, Troiano, Luigi, Cambria, Erik, and Herrera, Francisco (2019) Inconsistencies on TripAdvisor reviews: a unified index between users and Sentiment Analysis Methods. Neurocomputing, 353. pp. 3-16.

Y

Young, Tom, Cambria, Erik, Chaturvedi, Iti, Zhou, Hao, Biswas, Subham, and Huang, Minlie (2018) Augmenting end-to-end dialogue systems with commonsense knowledge. In: Proceedings of the 32nd AAAI Conference on Artificial Intelligence. pp. 4970-4977. From: AAAI-18: 32nd AAAI Conference on Artificial Intelligence, 2-7 February 2018, New Orleans, LA, USA.

This list was generated on Wed May 12 22:47:36 2021 AEST.