Results 11 to 20 of about 11,144 (177)
Temporal enhanced sentence-level attention model for hashtag recommendation [PDF]
CAAI Transactions on Intelligence Technology, 2018 Hashtags of microblogs can provide valuable information for many natural language processing tasks. How to recommend reliable hashtags automatically has attracted considerable attention.
Jun Ma +4 more
doaj +2 more sources
A hashtag recommendation system for twitter data streams. [PDF]
Comput Soc Netw, 2016 Twitter has evolved into a powerful communication and information sharing tool used by millions of people around the world to post what is happening now. A hashtag, a keyword prefixed with a hash symbol (#), is a feature in Twitter to organize tweets and facilitate effective search among a massive volume of data.
Otsuka E, Wallace SA, Chiu D.
europepmc +4 more sources
Recommendations From the Twitter Hashtag #DoctorsAreDickheads: Qualitative Analysis [PDF]
Journal of Medical Internet Research, 2020 Background The social media site Twitter has 145 million daily active users worldwide and has become a popular forum for users to communicate their health care concerns and experiences as patients. In the fall of 2018, a hashtag titled #DoctorsAreDickheads emerged, with almost 40,000 posts calling attention to ...
Anjana Estelle Sharma +5 more
openaire +3 more sources
Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags [PDF]
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015 In recent years, the task of recommending hashtags for microblogs has been given increasing attention. Various methods have been proposed to study the problem from different aspects. However, most of the recent studies have not considered the differences in the types or uses of hashtags. In this paper, we introduce a novel nonparametric Bayesian method
Yeyun Gong, Qi Zhang, Xuanjing Huang
openaire +1 more source
Jurnal Ilmu Sosial, 2021 This study is based on the events of acts of terrorism and the finding of radicalization efforts in Indonesia. This situation requires a response from many parties, including civil society, that is more participatory in supporting deradicalization ...
Tawakkal Baharuddin +3 more
doaj +1 more source
Entropy, 2020 Hashtag-based image descriptions are a popular approach for labeling images on social media platforms. In practice, images are often described by more than one hashtag.
Tomasz Hachaj, Justyna Miazga
doaj +1 more source
Task-agnostic representation learning of multimodal twitter data for downstream applications
Journal of Big Data, 2022 Twitter is a frequent target for machine learning research and applications. Many problems, such as sentiment analysis, image tagging, and location prediction have been studied on Twitter data.
Ryan Rivas +4 more
doaj +1 more source
Beyond the hashtag : circumventing content moderation on social media [PDF]
, 2018 Social media companies make important decisions about what counts as “problematic” content and how they will remove it. Some choose to moderate hashtags, blocking the results for certain tag searches and issuing public service announcements (PSAs) when ...
Gerrard, Y.
core +1 more source
Information, 2019 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 people to search for specific themes or content.
Rui Zhu, Delu Yang, Yang Li
doaj +1 more source
He votes or she votes? Female and male discursive strategies in Twitter political hashtags. [PDF]
PLoS ONE, 2014 In this paper, we conduct a study about differences between female and male discursive strategies when posting in the microblogging service Twitter, with a particular focus on the hashtag designation process during political debate. The fact that men and
Evandro Cunha +4 more
doaj +1 more source