Matches in SemOpenAlex for { <https://semopenalex.org/work/W3152519896> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W3152519896 abstract "In this world of modern technologies and media, online news publications and portals are increasing at a high speed. That is why, nowadays, it has become almost impossible to check out the traditional fact of news headlines and examine them due to the increase in the number of content writers, online media portals, and news portals. Mostly, fake headlines are filled with bogus or misleading content. They attract the commoners by putting phony words or misleading fraudulent content in the headlines to increase their views and share. But, these fake and misleading headlines create havoc in the commoner's life and misguide them in many ways. That is why we took a step so that the commoners can differentiate between fake and real news. We proposed a model that can successfully detect whether the story is fake or accurate based on the news headlines. We created a novel data set of Bengali language and achieved our aim and reached the target using the Gaussian Naive Bayes algorithm. We have used other algorithms, but the Gaussian Naive Algorithm has performed well in our model. This algorithm used a text feature dependent on TF-IDF and an Extra Tree Classifier to choose the attribute. In our model, using Gaussian Naive Bayes we got 87% accuracy which is comparatively best than any other algorithm we used in this model." @default.
- W3152519896 created "2021-04-26" @default.
- W3152519896 creator A5004177912 @default.
- W3152519896 creator A5048938527 @default.
- W3152519896 creator A5074743179 @default.
- W3152519896 date "2020-12-19" @default.
- W3152519896 modified "2023-09-29" @default.
- W3152519896 title "Evaluating Machine Learning Algorithms For Bengali Fake News Detection" @default.
- W3152519896 cites W1980298600 @default.
- W3152519896 cites W2078257655 @default.
- W3152519896 cites W2128509431 @default.
- W3152519896 cites W2252350410 @default.
- W3152519896 cites W2410465342 @default.
- W3152519896 cites W2772792254 @default.
- W3152519896 cites W2912642460 @default.
- W3152519896 cites W2914393943 @default.
- W3152519896 cites W2963416784 @default.
- W3152519896 cites W2997383136 @default.
- W3152519896 cites W3101890897 @default.
- W3152519896 doi "https://doi.org/10.1109/iccit51783.2020.9392662" @default.
- W3152519896 hasPublicationYear "2020" @default.
- W3152519896 type Work @default.
- W3152519896 sameAs 3152519896 @default.
- W3152519896 citedByCount "13" @default.
- W3152519896 countsByYear W31525198962021 @default.
- W3152519896 countsByYear W31525198962022 @default.
- W3152519896 countsByYear W31525198962023 @default.
- W3152519896 crossrefType "proceedings-article" @default.
- W3152519896 hasAuthorship W3152519896A5004177912 @default.
- W3152519896 hasAuthorship W3152519896A5048938527 @default.
- W3152519896 hasAuthorship W3152519896A5074743179 @default.
- W3152519896 hasConcept C108757681 @default.
- W3152519896 hasConcept C110083411 @default.
- W3152519896 hasConcept C11413529 @default.
- W3152519896 hasConcept C119857082 @default.
- W3152519896 hasConcept C121332964 @default.
- W3152519896 hasConcept C12267149 @default.
- W3152519896 hasConcept C137546455 @default.
- W3152519896 hasConcept C154945302 @default.
- W3152519896 hasConcept C163716315 @default.
- W3152519896 hasConcept C177264268 @default.
- W3152519896 hasConcept C19235068 @default.
- W3152519896 hasConcept C199360897 @default.
- W3152519896 hasConcept C204321447 @default.
- W3152519896 hasConcept C41008148 @default.
- W3152519896 hasConcept C52001869 @default.
- W3152519896 hasConcept C62520636 @default.
- W3152519896 hasConcept C84525736 @default.
- W3152519896 hasConcept C95623464 @default.
- W3152519896 hasConceptScore W3152519896C108757681 @default.
- W3152519896 hasConceptScore W3152519896C110083411 @default.
- W3152519896 hasConceptScore W3152519896C11413529 @default.
- W3152519896 hasConceptScore W3152519896C119857082 @default.
- W3152519896 hasConceptScore W3152519896C121332964 @default.
- W3152519896 hasConceptScore W3152519896C12267149 @default.
- W3152519896 hasConceptScore W3152519896C137546455 @default.
- W3152519896 hasConceptScore W3152519896C154945302 @default.
- W3152519896 hasConceptScore W3152519896C163716315 @default.
- W3152519896 hasConceptScore W3152519896C177264268 @default.
- W3152519896 hasConceptScore W3152519896C19235068 @default.
- W3152519896 hasConceptScore W3152519896C199360897 @default.
- W3152519896 hasConceptScore W3152519896C204321447 @default.
- W3152519896 hasConceptScore W3152519896C41008148 @default.
- W3152519896 hasConceptScore W3152519896C52001869 @default.
- W3152519896 hasConceptScore W3152519896C62520636 @default.
- W3152519896 hasConceptScore W3152519896C84525736 @default.
- W3152519896 hasConceptScore W3152519896C95623464 @default.
- W3152519896 hasLocation W31525198961 @default.
- W3152519896 hasOpenAccess W3152519896 @default.
- W3152519896 hasPrimaryLocation W31525198961 @default.
- W3152519896 hasRelatedWork W1470425429 @default.
- W3152519896 hasRelatedWork W2754051746 @default.
- W3152519896 hasRelatedWork W3011860286 @default.
- W3152519896 hasRelatedWork W3168126470 @default.
- W3152519896 hasRelatedWork W3186233728 @default.
- W3152519896 hasRelatedWork W3204641204 @default.
- W3152519896 hasRelatedWork W4226139868 @default.
- W3152519896 hasRelatedWork W4285225238 @default.
- W3152519896 hasRelatedWork W4285407528 @default.
- W3152519896 hasRelatedWork W4381745996 @default.
- W3152519896 isParatext "false" @default.
- W3152519896 isRetracted "false" @default.
- W3152519896 magId "3152519896" @default.
- W3152519896 workType "article" @default.