Introduction: Multiple sclerosis (MS) is one of the world’s most common neurologic disorders. Social media have been proposed as a way to maintain and even increase social interaction for people with MS. The objective this work identify compare topics on Twitter during first wave COVID-19 pandemic. Methods: Data was collected using API between 9/2/2019 13/5/2020. SentiStrength used analyze data...

Digital Humanities Quarterly (DHQ) is a young journal that covers the intersection of digital media and traditional humanities. In this paper, we explore the publication patterns in DHQ through visualizations of co-authorship and bibliographic coupling networks in order to understand the cultures the journal represents. We find that DHQ consists largely of sole-authored papers (66%) and the aut...

We describe a new formulation of appearance-only SLAM suitable for very large scale place recognition. The system navigates in the space of appearance, assigning each new observation to either a new or a previously visited location, without reference to metric position. The system is demonstrated performing reliable online appearance mapping and loop-closure detection over a 1000 km trajectory,...

In order to assess the extent which text-mining techniques can be used gain insights into a particular topic area, we apply hierarchical word clustering and Term Frequency-Inverse Document Frequency (TF-IDF) measure articles on computer programming published since 1970s, when research teaching are now more readily available in PDF files. Study 1 compares two sets of papers before after introduc...

Enormous amounts of biomedical data have been and are being produced by investigators all over the world. However, one crucial and limiting factor in data reuse is accurate, structured and complete description of the data or data about the data-defined as metadata. We propose a framework to predict structured metadata terms from unstructured metadata for improving quality and quantity of metada...

Research on semantic webs has become increasingly widespread in the computer science community. The core technology of a semantic web is an artefact called an ontology. The major problem in constructing an ontology is the long period of time required. Another problem is the large number of possible meanings for the knowledge in the ontology. To overcome these problems, one approach is developin...

There has been recent work done in the area of search result organization for image retrieval. The main aim is to cluster the search results into semantically meaningful groups. A number of works benefited from the use of the bipartite spectral graph partitioning method [3][4]. However, the previous works mentioned use a set of keywords for each corresponding image. This will cause the bipartit...

OBJECTIVE Attempts to understand the emotion have evolved from the perspective of an independent cognitive system of the mind to that of an interactive response involving the body. This study aimed to quantify and visualize relationships between different emotions and bodily organ systems from the perspective of East Asian medicine. METHODS Term frequency-inverse document frequency (tf-idf) m...