Mining social media data for opinion polarities about electronic cigarettes. Tob Control. Online March 15, 2016. http://dx. doi.org/10.1136/tobaccocontrol-2015-052818.Dai H, Hao J. Mining social media data for opinion polarities about electronic cigarettes. Tob Control 2017;26:175-80....
Data mining is to explore the large amount of information from various repositories. Different languages can be a barrier between monolingual communities, and the dynamics of language choice could explain the prosperity of local languages in an international setting. Also, with the revalidation of ...
Adedoyin-Olowe, M., Gaber, M.M., Stahl, F.T.: A survey of data mining techniques for social media analysis. JDMDH 2014 (2014)Adedoyin-Olowe, M., Gaber, M. M., & Stahl, F, "A Survey of Data Mining Techniques for Social Media Analysis"....
A voluminous and complex amount of information —‘big data’ — from social media such as Twitter and Flickr is now ubiquitous and of increasing interest to researchers studying human behaviour in cities. Yet the value of social-media data (SMD) for ur
Basic information data of industrial and commercial registered enterprises in the mining industryNEW Statistics on the number of registered agricultural industrial and commercial enterprisesNEW Basic information data of industrial and commercial registered enterprises in the electricity, heat, gas and water pr...
Cryptomining perfctl malware swarms Linux machines Aqua Security researchers believe that perfctl malware has infected thousands of Linux machines in the last three to four years and that countless more could be next. Continue Reading By Alexander Culafi, Senior News Writer Tip 03 Oct 2024 Ge...
Social media data mining has become a must-have strategy for understanding current trends, culture, and online business. This is because the world of social media is a thriving, ever-growing ocean of data, where hundreds of millions of tweets, instagram posts, and blog articles ...
We have proposed a framework in which these texts are first cleaned using domain knowledge and then subjected to mining. Ours is a semi-automated approach, in which the system aids in the process of knowledge assimilation for knowledge-base building and also performs the analytics. Domain experts...
Big data has become an important issue for a large number of research areas such as data mining, machine learning, computational intelligence, information fusion, the semantic Web, and social networks. The rise of different big data frameworks such as Apache Hadoop and, more recently, Spark, for...
Is it, for example, to track what is trending on social networks? Increase the effectiveness of marketing campaigns? Improve supply chain performance? Knowing the “why” is essential to establishing the business scope and determining the expected ROI for these projects. ...