A Data-Driven Approach for Twitter Hashtag Recommendation [PDF]
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.
Jerry Chun-Wei Lin +2 more
exaly +7 more sources
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 ...
Amitava Datta +2 more
exaly +3 more sources
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, Bin Jiang, Xiaochan Wang
exaly +3 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
Information (Switzerland), 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.
Delu Yang
exaly +3 more sources
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
doaj +2 more sources
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
doaj +2 more sources
#REval: A Semantic Evaluation Framework for Hashtag Recommendation
IEEE Transactions on Knowledge and Data Engineering18 pages, 4 ...
Amitava Datta +2 more
exaly +3 more sources
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
doaj +1 more source
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
doaj +1 more source