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Online News Popularity Prediction
2018 Fifth HCT Information Technology Trends (ITT), 2018Working with data mining algorithms in the large dataset is very common and especially with the expansion of the online news, it became very useful. Neural Networks, Random Forest, Support Vector Machines (SVM), Naive Bayes and others are the most common mining algorithms used for classification.
Feras Namous, Ali Rodan, Yasir Javed
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Social Media Popularity Prediction
Proceedings of the 27th ACM International Conference on Multimedia, 2019Social media popularity prediction (SMPD) aims to predict the popularity of the post shared on online social media platforms. This task is crucial for content providers and consumers in a wide range of real-world applications, including multimedia advertising, recommendation system and trend analysis.
Keyan Ding, Ronggang Wang, Shiqi Wang
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Early Prediction of Scholar Popularity
Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016Prediction of scholar popularity has become an important research topic for a number of reasons. In this paper, we tackle the problem of predicting the popularity {\it trend} of scholars by concentrating on making predictions both as earlier and accurate as possible.
Masoumeh Nezhadbiglari +2 more
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Predicting popular messages in Twitter
Proceedings of the 20th international conference companion on World wide web, 2011Social network services have become a viable source of information for users. In Twitter, information deemed important by the community propagates through retweets. Studying the characteristics of such popular messages is important for a number of tasks, such as breaking news detection, personalized message recommendation, viral marketing and others ...
Liangjie Hong +2 more
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Prediction of Social Image Popularity Dynamics
2019This paper introduces the new challenge of forecasting the engagement score reached by social images over time. The task to be addressed is hence the estimation, in advance, of the engagement score dynamic over a period of time (e.g., 30 days) by exploiting visual and social features. To this aim, we propose a benchmark dataset that consists of \(\sim \
Ortis A., Farinella G. M., Battiato S.
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Modelling and predicting news popularity
Pattern Analysis and Applications, 2012We explore the problem of learning to predict the popularity of an article in online news media. By "popular" we mean an article that was among the "most read" articles of a given day in the news outlet that published it. We show that this cannot be modelled simply as the binary classification task of separating popular from unpopular articles, thereby
Hensinger, Elena +2 more
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Ranking News Articles Based on Popularity Prediction
2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2012News articles are a captivating type of online content that capture a significant amount of Internet users' interest. They are particularly consumed by mobile users and extremely diffused through online social platforms. As a result, there is an increased interest in promptly identifying the articles that will receive a significant amount of user ...
Tatar, Alexandru +3 more
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Song Popularity Prediction using Ordinal Classification
2023Predicting a song's success based on audio descriptors before its release is an important task in the music industry, which has been tackled in many ways. Most approaches utilize audio descriptors to predict the success of a song, typically captured by either chart positions or listening counts.
Vötter, Michael +3 more
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Predicting Twitter Hashtags Popularity Level
2016 49th Hawaii International Conference on System Sciences (HICSS), 2016This paper investigates the problem of predicting Twitter hashtags popularity level. A data set of more than 18 million tweets containing 748 thousand hashtags has been prepared by using Twitter's Streaming API. Early adoption properties including profile of tweet authors and adoption time series are used to predict a tag's later popularity level.
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News Popularity Prediction Using Topic Modelling
2021 IEEE International Conference on Smart Information Systems and Technologies (SIST), 2021The tasks of Natural Language Processing (hereinafter - NLP) are very topical today, in particular in the context of the application of machine learning and artificial intelligence models. In this work the approach allowing to carry out classification of texts with the minimal required manual markup is considered. The problem of prediction of resonance
K.O. Yakunin +3 more
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