Fast, Scalable, and Context-Sensitive Detection of Trending Topics in Microblog Post Streams

2013 ◽  
Vol 3 (4) ◽  
pp. 1-24 ◽  
Author(s):  
Nargis Pervin ◽  
Fang Fang ◽  
Anindya Datta ◽  
Kaushik Dutta ◽  
Debra Vandermeer
Keyword(s):  
Sensitive Detection ◽  
Context Sensitive ◽  
Trending Topics

scholarly journals TrendNet Algorithm: Towards Personalization of Twitter Trends

2019 ◽  
Vol 8 (2) ◽  
pp. 1555-1560
Keyword(s):  
Social Structure ◽  
Real Time ◽  
Time Trend ◽  
Recommendation System ◽  
Context Sensitive ◽  
The Social ◽  
Trending Topics ◽  
Twitter Users ◽  
Emerging Topics ◽  
User Location

Twitter displays a list of currently popular keywords and hashtags on the user homepage which are referred as trends. Trends play an important role in discovering the hottest emerging topics of discussion and also help in categorizing the tweets through which the user can easily find similar tweets in that group. Twitter provides its user with a list of top ten trending topics but these trends are general topics which are popular based on the user location and are not context sensitive. These suggestions are not personalized. This paper examines an application for finding personalized trending topics on Twitter. We propose a novel real time trend recommendation system referred as TrendNet that helps its users to find what is currently popular in their network of friends by considering both the tweet content and the social structure. Comprehensive experiments on real Twitter users having different interests were conducted in order to evaluate the effectiveness of the algorithm. The results demonstrate that our scheme provides more accurate and personalized recommendations of trends as compared to the existing scheme

Neuropsychology in the Real World

2014 ◽  
Vol 25 (4) ◽  
pp. 233-238 ◽  
Author(s):  
Martin Peper ◽  
Simone N. Loeffler
Keyword(s):  
Neuropsychological Assessment ◽  
Real World ◽  
Ecological Validity ◽  
Real Life ◽  
Emotional States ◽  
Context Sensitive ◽  
Traditional Assessment ◽  
Life Data ◽  
Real Life Data ◽  
Assessment And Treatment

Current ambulatory technologies are highly relevant for neuropsychological assessment and treatment as they provide a gateway to real life data. Ambulatory assessment of cognitive complaints, skills and emotional states in natural contexts provides information that has a greater ecological validity than traditional assessment approaches. This issue presents an overview of current technological and methodological innovations, opportunities, problems and limitations of these methods designed for the context-sensitive measurement of cognitive, emotional and behavioral function. The usefulness of selected ambulatory approaches is demonstrated and their relevance for an ecologically valid neuropsychology is highlighted.

Identifying Molecular Markers for the Sensitive Detection of Residual AT/RT Cells

2014 ◽  
Vol 226 (03) ◽  
Author(s):  
T Vu-Han ◽  
MC Frühwald ◽  
M Hasselblatt ◽  
F Oyen ◽  
T Obser ◽  
...  
Keyword(s):  
Molecular Markers ◽  
Sensitive Detection
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