[PDF] Top 20 Fake News Detection using Support Vector Machine learning Algorithm
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Fake News Detection using Support Vector Machine learning Algorithm
... of fake news - an important first step toward using machine learning Classification for ...models using three distinct feature sets to understand what factors are most predictive ... See full document
7
Forgery Detection of Spliced Images Using Machine Learning Classifiers and color Illumination
... completely fake image is known as Image ...and fake image because of the presence of various powerful editing ...images using machine learning classifiers Support Vector ... See full document
6
A Survey on Intrusion Detection Systems and Classification Techniques
... Intrusion Detection System is an essential technology in Network ...intrusion detection system using Data mining techniques as an artful ...intrusion detection systems and introduces the ... See full document
7
The Detection of Fake Messages using Machine Learning
... the detection of nonfactual content on social ...an algorithm that automatically identifies the user identity on Twitter through text ...any fake user accounts on people’s perception. The ... See full document
7
Intrusion Detection System for Mobile Ad Hoc Networks using Cross Layer and Machine Learning Approach
... used Support Vector Machines (SVMs), Multivariate Adaptive Regression Splines (MARSs), and Linear Genetic Programs (LGPs) for ranking the ...genetic algorithm to select optimal features for decision ... See full document
8
Adaptive Distributed Intrusion Detection using Hybrid K means SVM Algorithm
... Intrusion Detection Systems can be further categorized as either host based (inspect data from a single host) and network based (examine network traffic from hosts attached to a ...Intrusion Detection ... See full document
5
Authentic News Summarization
... of news system has been discussed in this ...of news leads to summarization of news such that if authenticity measure is greater than or equal to 55% only then the summarization module will execute ... See full document
5
Anomaly Detection using Support Vector Machine
... (support vector machines) generally are capable of delivering higher performance in terms of classification accuracy than the other data classification ...object detection, micro-array gene ... See full document
6
Fake News Detection using Convolution Neural Network in Deep Learning
... deceptive news in social ...both fake and real news and conduct various experiments to organize fake news ...Processing, Machine learning and deep learning ... See full document
15
Fake News Detection of Indian and United States Election Data using Machine Learning Algorithm
... ROC (Receiver Operating Characteristic Curve) states how efficient the model can distinguish between two (e.g. If the news is Fake or not) [16]. Better models can differentiate among the two spaces ... See full document
5
An Unique Approach For Detection of Fake News using Machine Learning
... Abstract: Fake news, alternative facts are associated to each other since the time news was transmitted using news papers or ...The fake news most recently came to light ... See full document
6
An Effecient Fake News Detection System Using Machine Learning
... important news with low ...of fake news. So there is a possibility that less quality news with false information is spread through the social ...So, detection of fake news ... See full document
5
“Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection
... provides detailed analysis report and links to source documents for each case. This dataset can be used for fact-checking re- search as well. Notably, this new dataset is an order of magnitude larger than pre- viously ... See full document
5
Applications of different Techniques in Agricultural System: A Review
... an algorithm is ...identification using the android app. Another automatic plant disease algorithm is developed using gaussian smoothing approach and image ... See full document
5
Evaluating the performance of SVM and Apriori Algorithms for Bigdata Sudha M 1, Saravana Kumar E2
... supervised machine Learning algorithm to find lifetime, accuracy in large ...supervised machine learning algorithms- SVM(Dip-svm), Apriori algorithm are ... See full document
6
Prediction Of Performance And Probable Problems Of University Student Using Classification Techniques
... Bayes algorithm. The algorithm uses Bayes theorem and assumes all attributes to be independent given the Value of the class ...the algorithm tends to perform well and learn rapidly in various ... See full document
5
An improved incremental learning algorithm for text categorization using support vector machine
... The most simple and intuitive method in pattern classification field is classification method based on the distance function [12]. The core idea is to use the center of gravity of a class to represent the class. Then ... See full document
8
Traffic Data Analysis using Decision Tree and Naïve Bayes Classifier
... WEKA is a powerful tool as it contains both supervised and unsupervised learning techniques. WEKA is an efficient approach and outperforms other data mining approaches [7]. We use WEKA because it helps us to ... See full document
5
Prediction of Solar Irradiation Using Quantum Support Vector Machine Learning Algorithm
... quantum support vector algorithm was simu- lated using Python programming ...quantum support vector algorithm for solar power ...optimization algorithm was used for ... See full document
9
Detecting the online romance scam: Recognising images used in fraudulent dating profiles
... The rise of the internet has changed a lot in the world of dating by opening up the possibilities to get in touch with way more people than before. To that extent it is no surprise that online dating became a booming ... See full document
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