Leveraging machine learning techniques for image classification and revealing social media insights into human engagement with urban wild spaces [PDF]
Scientific ReportsIn recent years, machine learning models have exhibited excellent performance and far-reaching impact across domains such as fraud detection in finance, recommendation systems in e-commerce, medical imaging in healthcare, agricultural forecasting, social
Haider Khalid, Marcus J. Collier
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Hashtag Recommendation Methods for Twitter and Sina Weibo: A Review
Future Internet, 2021 Hashtag recommendation suggests hashtags to users while they write microblogs in social media platforms. Although researchers have investigated various methods and factors that affect the performance of hashtag recommendations in Twitter and Sina Weibo ...
Areej Alsini, Du Q. Huynh, Amitava Datta
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Unsupervised Keyword Extraction for Hashtag Recommendation in Social Media
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023 Hashtag recommendation aims to suggest hashtags to users to annotate and describe the key information in the text, or categorize their posts. In recent years, several hashtag recommendation methods are proposed and developed to speed up processing of the
Behafarid Mohammad Jafari +2 more
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Investigating the components of the success in the creating and sharing of educational content on the Instagram based on the analysis of human information interaction [PDF]
Fanāvarī-i āmūzish, 2021 Background and Objectives: Users’ change approach from traditional methods to the use of social network sites, capacities for searching information and reaching ii including the educational content, have attracted the attention of numerous of studies in ...
M. Nowkarizi +2 more
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PAC-MAN: Multi-Relation Network in Social Community for Personalized Hashtag Recommendation
IEEE Access, 2022 Previous personalized hashtag recommendations have been able to recommend suitable hashtags for a given microblog. Despite their performance improvement, we argue that three challenges remain unexplored. First, prior studies capture user interests solely
Umaporn Padungkiatwattana +1 more
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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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Sentiment Enhanced Multi-Modal Hashtag Recommendation for Micro-Videos
IEEE Access, 2020 Recommending hashtags for micro-videos is a challenging task due to the following two reasons: 1) micro-video is a unity of multi-modalities, including the visual, acoustic, and textual modalities.
Chao Yang, Xiaochan Wang, Bin Jiang
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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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A Data-Driven Approach for Twitter Hashtag Recommendation
IEEE Access, 2020 This paper addresses the hashtag recommendation problem using high average-utility pattern mining. We introduce a novel framework called PM-HRec (Pattern Mining for Hashtag Recommendation). It consists of two main stages.
Asma Belhadi +3 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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