Dataless Short Text Classification Based on Biterm Topic Model and Word Embeddings - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Yi Yang, Hongan Wang, Jiaqi Zhu, Yunkun Wu, Kailong Jiang, Wenli Guo, Wandong Shi. Dataless Short Text Classification Based on Biterm Topic Model and Word Embeddings. In Christian Bessiere, editor, Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020 [scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic]. pages 3969-3975, ijcai.org, 2020. [doi]

The following publications are possibly variants of this publication:

Relational Biterm Topic Model: Short-Text Topic Modeling using Word EmbeddingsXiMing Li, ang Zhang, Changchun Li, Lantian Guo, Wenting Wang, Jihong OuYang. cj, 62(3):359-372, 2019. [doi]

A biterm topic model for short textsXiaohui Yan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng. WWW 2013: 1445-1456 [doi]

Online Biterm Topic Model based short text stream classification using short text expansion and concept drifting detectionXuegang Hu, Haiyan Wang, Pei-Pei Li. prl, 116:187-194, 2018. [doi]

Sparse Biterm Topic Model for Short TextsBingshan Zhu, Yi Cai 0002, Huakui Zhang. apweb 2021: 227-241 [doi]

Biterm Pseudo Document Topic Model for Short TextLan Jiang, Hengyang Lu, Ming Xu, Chongjun Wang. ictai 2016: 865-872 [doi]

Effective Seed-Guided Topic Labeling for Dataless Hierarchical Short Text ClassificationYi Yang, Hongan Wang, Jiaqi Zhu, Wandong Shi, Wenli Guo, Jiawen Zhang. ICWE 2021: 271-285 [doi]

runs on WebDSL