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Online social networking services and spam detection approaches in opinion mining-a review
Social network platforms have gained enormous growth in present days. Users are more
attracted towards social network sites such as Twitter, Facebook, micro blogs and YouTube …
attracted towards social network sites such as Twitter, Facebook, micro blogs and YouTube …
An effective feature selection method for web spam detection
F Asdaghi, A Soleimani - Knowledge-Based Systems, 2019 - Elsevier
Web spam is an illegal and immoral way to increase the ranking of web pages by deceiving
search engine algorithms. Therefore, different methods have been proposed to detect and …
search engine algorithms. Therefore, different methods have been proposed to detect and …
A study on diverse methods and performance measures in sentiment analysis
With the vast development of Internet technology 2.0, millions of people share their opinions
on different social networking sites. To obtain the necessary information from the large …
on different social networking sites. To obtain the necessary information from the large …
Exploiting latent content based features for the detection of static sms spams
As the use of mobile phones grows, spams are becoming increasingly common in mobile
communication such as SMS, calling for research on SMS spam detection. Existing …
communication such as SMS, calling for research on SMS spam detection. Existing …
How many zombies around you?
Recent years have witnessed the explosive growth of online social media. Weibo, a famous"
Chinese Twitter", has attracted over half billion users in less than four years. Among them …
Chinese Twitter", has attracted over half billion users in less than four years. Among them …
Improved dft for testing power switches
Power switches are used as part of power-gating technique to reduce leakage power of a
design. To the best of our knowledge this is the first study that analyzes recently proposed …
design. To the best of our knowledge this is the first study that analyzes recently proposed …
Supervised learning for detection of duplicates in genomic sequence databases
Motivation First identified as an issue in 1996, duplication in biological databases introduces
redundancy and even leads to inconsistency when contradictory information appears. The …
redundancy and even leads to inconsistency when contradictory information appears. The …
[PDF][PDF] Approaches for web spam detection
Spam is a major threat to web security. The web of trust is being abused by the spammers
through their ever evolving new tactics for their personal gains. In fact, there is a long chain …
through their ever evolving new tactics for their personal gains. In fact, there is a long chain …
Two time-efficient gibbs sampling inference algorithms for biterm topic model
X Zhou, J Ouyang, X Li - Applied Intelligence, 2018 - Springer
Abstract Biterm Topic Model (BTM) is an effective topic model proposed to handle short
texts. However, its standard gibbs sampling inference method (StdBTM) costs much more …
texts. However, its standard gibbs sampling inference method (StdBTM) costs much more …
Fraud web page detection based on bidirectional LSTM and attention mechanism
H Song, K Huang, X Ji, F Wan - … International Conference on …, 2022 - spiedigitallibrary.org
With the increasing popularity of the Internet, network security issues are also increasing
and there are more and more fraudulent web pages, which also brings great obstacles to the …
and there are more and more fraudulent web pages, which also brings great obstacles to the …