Objective: By analyzing the literature related to technological innovation, the main direction of Chinese technological innovation research is clarified, and the current research hot spots are grasped. Methods: With CNKI as the data source, technological ...

Digital transformation in the Chinese healthcare industry has led national government agencies to issue a series of policies to guide the construction of health informatisation. However, little is known about the issuing agencies and the topics of health ...

Interactive Learning Environments (ILE) is an important and active international journal in the research field of interactive learning environments since 1990. Focusing on the major contributors, scientific collaborations, research topics and topic ...

Terrorist attacks, chemical attacks, rapes and other socially sensitive incidents are shared on social media to gain attention from the world. Microblogging sites like Twitter become flooded with these root events and their sub events as they evolve over ...

The abundant sequential documents such as online archival, social media, and news feeds are streamingly updated, where each chunk of documents is incorporated with smoothly evolving yet dependent topics. Such digital texts have attracted extensive ...

The automatic extraction of topics is a standard technique for summarizing text corpora from various domains (e.g., news articles, transport or logistic reports, scientific publications) that has several applications. Since, in many cases, topics are ...

Social media contributes to enhancing transparency and openness for the purpose of innovating public services and policy-making. In disaster management, social media data can be mined to discover public perceptions and concerns on large disaster events. ...

One of the prevalent studies on Topic Detection and Tracking (TDT) is topic evolution. With the emergence of Internet data, there is a clear need for intuitive and adaptive methods to analyze a series of evolutions. Most approaches completely depend on ...

Accurately representing the quantity and characteristics of users' interest in certain topics is an important problem facing topic evolution researchers, particularly as it applies to modern online environments. Search engines can provide information ...

Researchers in academia and industry face a deluge of data in our digital world. In this paper, we investigate a novel problem, query-centric scientific topic evolution. Using heterogeneous graph mining techniques we construct a topic evolution tree (...

Software projects evolve over time as bugs are addressed and new functionalities are added. Managing bugs can be a significant challenge for a project manager especially when the number of reported bugs is large, and the manager needs to consult with ...

This paper analyses topic segmentation based on the LDA (Latent Dirichlet Allocation) model, and performs the topic segmentation and topic evolution of stem cell research literatures in PubMed from 2001 to 2012 by combining the HMM (Hidden Markov Model) ...

Understanding topic hierarchies in text streams and their evolution patterns over time is very important in many applications. In this paper, we propose an evolutionary multi-branch tree clustering method for streaming text data. We build evolutionary ...

A large number of people use social media to generate content in a vast network of friends or strangers, and often with an unspecified number of users generating long lasting topic information which affects the normal operation of enterprises. The ...

Recent years have witnessed a great deal of attention in tracking news memes over the web, modeling shifts in the ebb and flow of their popularity. One of the most important features of news memes is that they seldom occur repeatedly, instead, they tend ...

As the advance of mobile technologies, geographical records can be easily embedded in the data to form the location-associated documents. For example, in Twitter, the location of tweets can be identified by the GPS locations or IP addresses from smart ...

In this paper we study how to discover the evolution of topics over time in a time-stamped document collection. Our approach is uniquely designed to capture the rich topology of topic evolution inherent in the corpus. Instead of characterizing the ...

The authors apply the research profiling method to review all the research that has been published in Simulation & Gaming since the journalâ s inauguration in 1970. The data include 2,096 articles, of which 1,046 are research articles. The authors ...

This poster briefly describes a practical system named FounderWISE for harvesting and monitoring hot topics on the Web. FounderWISE consists of five components: Web crawler, text classifier, topic detector, topic summarizer and topic analyzer. In this ...

Traditional topic tracking approaches can obtain the relevant stories. However, the relationship between stories occurred during the topic developing process can not be exhibited clearly. By analyzing the evolution of the topic, the concept subtopic is ...