Results 11 to 20 of about 912 (162)
Information, 2021 Hashtags are considered important in various real-world applications, including tweet mining, query expansion, and sentiment analysis. Hence, recommending hashtags from tagged tweets has been considered significant by the research community.
Santosh Kumar Banbhrani +3 more
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Knowledge Discovery from Large Amounts of Social Media Data
Applied Sciences, 2022 In recent years, social media analysis is arousing great interest in various scientific fields, such as sociology, political science, linguistics, and computer science.
Loris Belcastro +2 more
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Cross-modality representation learning from transformer for hashtag prediction
Journal of Big Data, 2023 Hashtags are the keywords that describe the theme of social media content and have become very popular in influence marketing and trending topics. In recent years, hashtag prediction has become a hot topic in AI research to help users with automatic ...
Mian Muhammad Yasir Khalil +3 more
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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
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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
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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
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Personalized Hashtag Recommendation for Micro-videos [PDF]
Proceedings of the 27th ACM International Conference on Multimedia, 2019 Personalized hashtag recommendation methods aim to suggest users hashtags to annotate, categorize, and describe their posts. The hashtags, that a user provides to a post (e.g., a micro-video), are the ones which in her mind can well describe the post content where she is interested in.
Yinwei Wei +5 more
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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
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Friend Recommendation based on Hashtags Analysis
CoRR, 2020 Social networks include millions of users constantly looking for new relationships for personal or professional purposes. Social network sites recommend friends based on relationship features and content information. A significant part of information shared every day is spread in Hashtags. None of the existing content-based recommender systems uses the
Ali Choumane, Zein Al Abidin Ibrahim
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Research on Twitter User Tag Preference Prediction Based on Thompson Sampling Algorithm [PDF]
ITM Web of ConferencesTwitter's user behaviour data is crucial for studying user patterns and content recommendation. To achieve this goal, the paper first preprocesses a Twitter user dataset obtained from Kaggle.
Shi Yixuan
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