FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3200960983> ?p ?o ?g. }

• W3200960983 endingPage "2326" @default.
• W3200960983 startingPage "2326" @default.
• W3200960983 abstract "Before the internet, people acquired their news from the radio, television, and newspapers. With the internet, the news moved online, and suddenly, anyone could post information on websites such as Facebook and Twitter. The spread of fake news has also increased with social media. It has become one of the most significant issues of this century. People use the method of fake news to pollute the reputation of a well-reputed organization for their benefit. The most important reason for such a project is to frame a device to examine the language designs that describe fake and right news through machine learning. This paper proposes models of machine learning that can successfully detect fake news. These models identify which news is real or fake and specify the accuracy of said news, even in a complex environment. After data-preprocessing and exploration, we applied three machine learning models; random forest classifier, logistic regression, and term frequency-inverse document frequency (TF-IDF) vectorizer. The accuracy of the TFIDF vectorizer, logistic regression, random forest classifier, and decision tree classifier models was approximately 99.52%, 98.63%, 99.63%, and 99.68%, respectively. Machine learning models can be considered a great choice to find reality-based results and applied to other unstructured data for various sentiment analysis applications." @default.
• W3200960983 created "2021-09-27" @default.
• W3200960983 creator A5020359341 @default.
• W3200960983 creator A5027794832 @default.
• W3200960983 creator A5035683705 @default.
• W3200960983 creator A5043334531 @default.
• W3200960983 creator A5045260525 @default.
• W3200960983 creator A5052244794 @default.
• W3200960983 creator A5066848279 @default.
• W3200960983 creator A5086100690 @default.
• W3200960983 date "2021-09-23" @default.
• W3200960983 modified "2023-10-16" @default.
• W3200960983 title "Fake News Data Exploration and Analytics" @default.
• W3200960983 cites W2011301426 @default.
• W3200960983 cites W2125283600 @default.
• W3200960983 cites W221948068 @default.
• W3200960983 cites W2401379394 @default.
• W3200960983 cites W2410465342 @default.
• W3200960983 cites W2778443828 @default.
• W3200960983 cites W2791544114 @default.
• W3200960983 cites W2900571251 @default.
• W3200960983 cites W2945928904 @default.
• W3200960983 cites W2964938584 @default.
• W3200960983 cites W2991370774 @default.
• W3200960983 cites W2991565926 @default.
• W3200960983 cites W2999320773 @default.
• W3200960983 cites W3013830439 @default.
• W3200960983 cites W3013957436 @default.
• W3200960983 cites W3084317880 @default.
• W3200960983 cites W3093031973 @default.
• W3200960983 cites W3106761115 @default.
• W3200960983 cites W3107058614 @default.
• W3200960983 cites W3107690660 @default.
• W3200960983 cites W3119850748 @default.
• W3200960983 cites W3119962516 @default.
• W3200960983 cites W3120091839 @default.
• W3200960983 cites W3130139313 @default.
• W3200960983 cites W3134081317 @default.
• W3200960983 cites W3150635270 @default.
• W3200960983 cites W3157903123 @default.
• W3200960983 cites W3162686100 @default.
• W3200960983 cites W3169823389 @default.
• W3200960983 doi "https://doi.org/10.3390/electronics10192326" @default.
• W3200960983 hasPublicationYear "2021" @default.
• W3200960983 type Work @default.
• W3200960983 sameAs 3200960983 @default.
• W3200960983 citedByCount "21" @default.
• W3200960983 countsByYear W32009609832021 @default.
• W3200960983 countsByYear W32009609832022 @default.
• W3200960983 countsByYear W32009609832023 @default.
• W3200960983 crossrefType "journal-article" @default.
• W3200960983 hasAuthorship W3200960983A5020359341 @default.
• W3200960983 hasAuthorship W3200960983A5027794832 @default.
• W3200960983 hasAuthorship W3200960983A5035683705 @default.
• W3200960983 hasAuthorship W3200960983A5043334531 @default.
• W3200960983 hasAuthorship W3200960983A5045260525 @default.
• W3200960983 hasAuthorship W3200960983A5052244794 @default.
• W3200960983 hasAuthorship W3200960983A5066848279 @default.
• W3200960983 hasAuthorship W3200960983A5086100690 @default.
• W3200960983 hasBestOaLocation W32009609831 @default.
• W3200960983 hasConcept C10551718 @default.
• W3200960983 hasConcept C110875604 @default.
• W3200960983 hasConcept C112698675 @default.
• W3200960983 hasConcept C119857082 @default.
• W3200960983 hasConcept C121332964 @default.
• W3200960983 hasConcept C124101348 @default.
• W3200960983 hasConcept C136764020 @default.
• W3200960983 hasConcept C144024400 @default.
• W3200960983 hasConcept C144133560 @default.
• W3200960983 hasConcept C151956035 @default.
• W3200960983 hasConcept C154945302 @default.
• W3200960983 hasConcept C169258074 @default.
• W3200960983 hasConcept C201280247 @default.
• W3200960983 hasConcept C36289849 @default.
• W3200960983 hasConcept C41008148 @default.
• W3200960983 hasConcept C48798503 @default.
• W3200960983 hasConcept C518677369 @default.
• W3200960983 hasConcept C61797465 @default.
• W3200960983 hasConcept C62520636 @default.
• W3200960983 hasConcept C66402592 @default.
• W3200960983 hasConcept C75684735 @default.
• W3200960983 hasConcept C81758059 @default.
• W3200960983 hasConcept C84525736 @default.
• W3200960983 hasConcept C95623464 @default.
• W3200960983 hasConceptScore W3200960983C10551718 @default.
• W3200960983 hasConceptScore W3200960983C110875604 @default.
• W3200960983 hasConceptScore W3200960983C112698675 @default.
• W3200960983 hasConceptScore W3200960983C119857082 @default.
• W3200960983 hasConceptScore W3200960983C121332964 @default.
• W3200960983 hasConceptScore W3200960983C124101348 @default.
• W3200960983 hasConceptScore W3200960983C136764020 @default.
• W3200960983 hasConceptScore W3200960983C144024400 @default.
• W3200960983 hasConceptScore W3200960983C144133560 @default.
• W3200960983 hasConceptScore W3200960983C151956035 @default.
• W3200960983 hasConceptScore W3200960983C154945302 @default.
• W3200960983 hasConceptScore W3200960983C169258074 @default.
• W3200960983 hasConceptScore W3200960983C201280247 @default.
• W3200960983 hasConceptScore W3200960983C36289849 @default.

• next