Results 1 to 10 of about 1,821 (116)
A framework for recommending tourist attractions using deep learning and association rule mining-based methods [PDF]
. Many of tourism recommendation researches are based on the user rating and review data on the tourism platforms, and these approaches might be only suitable for a discrete recommendation for the tourist attractions. It is because each rating and review
Jeong Hanjo
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Gaining an Insight into Learner Satisfaction in MOOCs: An Investigation through Blog Mining
MOOCs can be considered as a powerful alternative in extraordinary situations where people cannot reach formal education. In recent years, the widespread use of the internet worldwide and especially the CoVID-19 has increased the need of people for MOOCs.
Mehmet Ali Ustaoğlu, Volkan Kukul
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Proactive Personality Measurement Using Item Response Theory and Social Media Text Mining
This prospective study was designed to propose a novel method of assessing proactive personality by combining text mining technology and Item Response Theory (IRT) to measure proactive personality more efficiently.
Gancheng Zhu +8 more
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Investigating MOOCs Through Blog Mining
MOOCs (massive open online course) is a disruptive innovation and a current buzzword in higher education. However, the discussion of MOOCs is disparate, fragmented, and distributed among different outlets.
Yong Chen
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Research on micro-blog based personal interests and emotion transition tendency
With the rapid development of social network, people can present or share their opinions and emotions on the micro-blog, and as a result, large amount of blog texts and emotional information of different topics are produced.
Jiushuo WANG +3 more
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Gender Factor in Associative Links of Words: Dictionary and Distributive-Semantic Model Data
The aim of the work is to make a comparative analysis of the associative links of full-meaning words from the upper zone of the frequency list, compiled on the basis of a research corpus of blog texts in Russian, in a psycholinguistic experiment and the ...
T. A. Litvinova +2 more
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Il paper si prefi gge l’obiettivo di indagare e confrontare la web communication di due differenti categorie di vino (un vino autoctono – rappresentativo del patrimonio culturale del territorio di origine – e uno globale), valutando il gap nella ...
Federica Cavallo +3 more
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Approaching fashion design trend applications using text mining and semantic network analysis
This study aims to identify fashion trends with design features and provide a consumer-driven fashion design application in digital dynamics, by using text mining and semantic network analysis.
Hyosun An, Minjung Park
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Although extensive research has been conducted to quantify and map the cultural values of nature and wildlife, there are still many challenges that need to be solved.
Jeeyoung Kim, Yonghoon Son
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ULW-DMM: An Effective Topic Modeling Method for Microblog Short Text
With the popularity of social media, including micro-blog, mining effective information in short texts has become an increasingly important issue. However, due to the sparseness, high dimensionality and large amount of data, mining this information is a ...
Jia Yu, Lirong Qiu
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