Information Retrieval from Search Engine Using Particle Swarm Optimization

Kaushik, Nainika; Bhatia, Manjot Kaur

doi:10.1007/978-981-15-0222-4_11

Cited by 4 publications

(2 citation statements)

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“…The displayed fake news detection approach that is based on text analysis in the paper utilizes models based on speech characteristics and predictive models that do not fit with the other current models. The researcher proposed a method for mining the productive information from web using classification algorithms particle swarm optimization and support vector machine [13].Author proposed a big data query optimization system for sentiment analysis of telecom customer tweets. The hybrid system suggested by researcher influenced the repeated neural network [12].…”

Section: IImentioning

confidence: 99%

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Fake News Detection Using Machine Learning

Jain¹,

Kaur²

2022

IJRASET

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Fake news is one of the most popular phenomena that effects on our social life[2]. Nowadays, growing faux information turns into very smooth due to user’s considerable the usage of internet. It is a severe problem as its cap potential to motive a variety of social damage.In this paper, we can make an evaluation of studies associated with faux information detection. We will use system studying algorithms to pick the first-class version for detection of faux or actual information. The end result will display the accuracy of dataset. In this paper, we can use supervised studying like- Logistic Regression, svm, Naïve Bayes etc.

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Section: IImentioning

confidence: 99%

“…The hybrid system suggested by researcher influenced the repeated neural network [12]. Researcher proposes a framework in which dataset of customers is analyzed using spearman method [13].…”

Section: IImentioning

confidence: 99%