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103.261  Articles
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The diversity of the content of a web page can have a negative impact if used by the wrong user. Almost a half of internet users are children. Therefore, it is important to classify web pages to find out which pages are worthy of being seen by children an... see more

We compare life course typology solutions generated by sequence analysis (SA) and latent class analysis (LCA). First, we construct an analytic protocol to arrive at typology solutions for both methodologies and present methods to compare the empirical qua... see more

Massive open online courses (MOOCs) have been touted as an effective way to make higher education accessible for free or for only a small fee, thus addressing the problem of unequal access and providing new opportunities to young people in middle and low ... see more

This paper qualitatively compares and contrasts three methods that are useful for life course researchers; the more widely used sequence analysis, and the promising but less often applied latent class growth models, and multi-state event history models. T... see more

Heterogeneous data in all groups are growing on the web nowadays. Because of the variety of data types in the web search results, it is common to classify the results in order to find the preferred data. Many machine learning methods are used to classify ... see more

Erickson, D., Rutledge, P., Lenk, K., Nelson, T., Jones-Webb, R., & Toomey, T. (2015). Patterns of alcohol policy enforcement activities among local law enforcement agencies: A latent class analysis. The International Journal Of Alcohol And Drug Rese... see more

We compare life course typology solutions generated by sequence analysis (SA) and latent class analysis (LCA). First, we construct an analytic protocol to arrive at typology solutions for both methodologies and present methods to compare the empirical qua... see more

We have already survey many significant approaches for many years because there are many crucial contributions of the sentiment classification which can be applied in everyday life, such as in political activities, commodity production, and commercial act... see more

Latent variable models are widely used in social sciences for measuring constructs (latent variables) such as ability, attitude, behavior, and wellbeing. Those unobserved constructs are measured through a number of observed items (variables). The observed... see more

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