Machine learning and semantic sentiment analysis based algorithms for suicide sentiment prediction in social networks
M Birjali, A Beni-Hssane, M Erritali - Procedia Computer Science, 2017 - Elsevier
Sentiment analysis is one of the new challenges appeared in automatic language
processing with the advent of social networks. Taking advantage of the amount of …
processing with the advent of social networks. Taking advantage of the amount of …
Choosing the right crowd: expert finding in social networks
Expert selection is an important aspect of many Web applications, eg, when they aim at
matching contents, tasks or advertisement based on user profiles, possibly retrieved from …
matching contents, tasks or advertisement based on user profiles, possibly retrieved from …
A reputation framework for social participatory sensing systems
H Amintoosi, SS Kanhere - Mobile Networks and Applications, 2014 - Springer
Social participatory sensing is a newly proposed paradigm that tries to address the
limitations of participatory sensing by leveraging online social networks as an infrastructure …
limitations of participatory sensing by leveraging online social networks as an infrastructure …
Trust-based privacy-aware participant selection in social participatory sensing
The main idea behind social participatory sensing is to leverage social friends to participate
in mobile sensing tasks. A main challenge, however, is the identification and recruitment of …
in mobile sensing tasks. A main challenge, however, is the identification and recruitment of …
A model to support design and development of multiple-social-network applications
Online social networks have become so pervasive in people's lives that they can play a
crucial role in design and development processes of applications. At moment, a gap exists …
crucial role in design and development processes of applications. At moment, a gap exists …
Facebook users relationships analysis based on sentiment classification
It is presented an approach aimed at analyzing the homepage of a Facebook user or group
in order to automatically detect who has discussed what and how it has been discussed. All …
in order to automatically detect who has discussed what and how it has been discussed. All …
On local expert discovery via geo-located crowds, queries, and candidates
W Niu, Z Liu, J Caverlee - ACM Transactions on Spatial Algorithms and …, 2016 - dl.acm.org
Local experts are critical for many location-sensitive information needs, and yet there is a
research gap in our understanding of the factors impacting who is recognized as a local …
research gap in our understanding of the factors impacting who is recognized as a local …
Low-latency modular packet header parser for FPGA
Packet parsing is the basic operation performed at all points of the network infrastructure.
Modern networks impose challenging requirements on the performance and configurability …
Modern networks impose challenging requirements on the performance and configurability …
A trust framework for social participatory sensing systems
H Amintoosi, SS Kanhere - … 2012, Beijing, China, December 12-14, 2012 …, 2013 - Springer
The integration of participatory sensing with online social networks affords an effective
means to generate a critical mass of participants, which is essential for the success of this …
means to generate a critical mass of participants, which is essential for the success of this …
A survey on participant recruitment in crowdsensing systems
M Davari, H Amintoosi - 2016 6th International Conference on …, 2016 - ieeexplore.ieee.org
Advances in the sensing capabilities of smartphones have resulted in the emergence of
crowdsensing. In a crowdsensing campaign, ordinary citizens are recruited to collect sensor …
crowdsensing. In a crowdsensing campaign, ordinary citizens are recruited to collect sensor …