'Smart cities' are a new type of city where stakeholders are jointly responsible for urban
management. City Information Management (CIM) is an output tool for smart city planning …

The transmission from offline activities to online activities due to the social disorder evolved
from COVID-19 pandemic lockdown has led to increase in the online economic and social …

Keyword extraction aims to capture the main topics of a document and is an important step
in natural language processing (NLP) applications. The use of different graph centrality …

A large amount of unstructured textual data about geoscience structures and minerals is
buried in geoscience documents and is unused. Automatic keyphrase extraction provides …

Keyword extraction by Term frequency‐Inverse document frequency (TF‐IDF) is used for text
information retrieval and mining in many domains, such as news text, social contact text, and …

Day by day huge amounts data are produced, and evaluation of these data becomes more
difficult. The data obtained should provide meaningful, correct, and accurate information …

Keyword provide a brief profile of document contents and serve as an important method for
quickly obtaining the document's themes. Traditional keyword extraction methods are mostly …

When TextRank algorithm based on graph model constructs graph associative edges, the co‐
occurrence window rules only consider the relationships between local terms. Using the …

The e-government platform not only enables the government department to publish policy
texts online, but also makes it easier for users to access the policy, especially for the …

The year 2020 has seen an unprecedented COVID-19 pandemic due to the outbreak of a
novel strain of coronavirus in 180 countries. In a desperate effort to discover new drugs and …