DISCOVERING TOPIC REPRESENTATIVE TERMS FOR SHORT TEXT CLUSTERING

Discovering Topic Representative Terms for Short Text Clustering

Clustering short texts are one of the most important text analysis methods to help extract Camcorder knowledge from online social media platforms, such as Twitter, Facebook, and Weibo.However, the instant features (such as abbreviation and informal expression) and the limited length of short texts challenge the clustering task.Fortunately, short te

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Governing Grazing and Mobility in the Samburu Lowlands, Kenya

Pastoral mobility is seen as the most effective strategy to make use of constantly shifting resources.However, mobile pastoralism as a highly-valued strategy to manage grazing areas and exploit resource variability is becoming more complex, due to recurrent droughts, loss of forage, government-led settlement schemes, and enclosure of land for commu

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Event Networks and the Identification of Crime Pattern Motifs.

In this paper we demonstrate the use of network analysis to characterise patterns of clustering in spatio-temporal events.Such clustering is of both theoretical and practical importance in the study of crime, and forms the basis for a number of preventative strategies.However, existing analytical methods show only that clustering is present in data

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Analysing the behavioural, psychological, and demographic determinants of financial decision making of household investors

Adding to the behavioural science domain, the artificial principal idea behind the study is to investigate the impact of an array of behavioural, psychological, and demographic factors on financial decision making.The study utilizes a structured questionnaire to collect the opinions of 634 investors using a blend of random and snowball sampling tec

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