Hashtag recommendation with topical attention-based LSTM

Y Li, T Liu, J Jiang, L Zhang - Proceedings of COLING 2016, the …, 2016 - aclanthology.org
Microblogging services allow users to create hashtags to categorize their posts. In recent
years, the task of recommending hashtags for microblogs has been given increasing …

Topical co-attention networks for hashtag recommendation on microblogs

Y Li, T Liu, J Hu, J Jiang - Neurocomputing, 2019 - Elsevier
Hashtags provide a simple and natural way of organizing content in microblog services.
Along with the fast growing of microblog services, the task of recommending hashtags for …

Emhash: Hashtag recommendation using neural network based on bert embedding

M Kaviani, H Rahmani - 2020 6th International Conference on …, 2020 - ieeexplore.ieee.org
Social media like Twitter have become very popular in recent decades. Hashtags are new
kind of metadata which make non-structured tweets into searchable semistructured content …

Learning improved semantic representations with tree-structured lstm for hashtag recommendation: An experimental study

R Zhu, D Yang, Y Li - Information, 2019 - mdpi.com
A hashtag is a type of metadata tag used on social networks, such as Twitter and other
microblogging services. Hashtags indicate the core idea of a microblog post and can help …

[PDF][PDF] Self-Attentive Neural Network for Hashtag Recommendation.

D Yang, R Zhu, Y Li - Journal of Engineering Science & …, 2019 - pdfs.semanticscholar.org
A hashtag is a type of metadata tag used on social networks and can help people search for
specific topics or content. To capture the interactive information between words and …

[PDF][PDF] Jing JIANG; and ZHANG, Liang. Hashtag recommendation with topical attention-based LSTM.(2016)

Y LI, T LIU - Proceedings of the 26th International Conference on … - core.ac.uk
Microblogging services allow users to create hashtags to categorize their posts. In recent
years, the task of recommending hashtags for microblogs has been given increasing …