Matches in SemOpenAlex for { <https://semopenalex.org/work/W4296461683> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W4296461683 abstract "In the digital age, the amount of online Bangla news has increased rapidly. For organizing their news, each news source has its own system for categorization. Because of the diversity, the structure and classification of online Bangla news items cannot always match the needs of an individual. As a result, tackling this issue and categorizing Bangla news items based on the preference of a user is a difficult task. Recommending the proper news category aids users in finding desired items, however, manually categorizing news articles is a lengthy process and cumbersome. It becomes even more challenging when addressing a language with limited resources, such as Bengali, which is one of the world’s most frequently spoken languages. However, just a few ways for categorizing Bangla news articles have been developed, with only few machine learning algorithms being used with restricted resources. Multiple machine learning approaches are highlighted in this study. Using our techniques, we were able to categorize news in nine categories with an accuracy of 93.76% in a dataset including over 400 thousand data sets from the newspaper Prothom Alo. To train diverse supervised learning models, we used dimentionality reduction and a variety of complicated textual properties, such as TF-IDF. Several machine learning classifiers were implemented. The acquired experimental findings demonstrate the recall, F1-score, precision, and accuracy of our implemented models." @default.
- W4296461683 created "2022-09-20" @default.
- W4296461683 creator A5011728846 @default.
- W4296461683 creator A5044846180 @default.
- W4296461683 creator A5050850601 @default.
- W4296461683 creator A5072459279 @default.
- W4296461683 creator A5081311910 @default.
- W4296461683 date "2022-03-01" @default.
- W4296461683 modified "2023-09-23" @default.
- W4296461683 title "Performance Comparison of Different Machine Learning Classifiers in Categorizing Bangla News Articles" @default.
- W4296461683 cites W1994484359 @default.
- W4296461683 cites W2090240037 @default.
- W4296461683 cites W2888133020 @default.
- W4296461683 cites W2903208718 @default.
- W4296461683 cites W2953901787 @default.
- W4296461683 cites W3096107150 @default.
- W4296461683 cites W3158558892 @default.
- W4296461683 doi "https://doi.org/10.1109/icnlp55136.2022.00069" @default.
- W4296461683 hasPublicationYear "2022" @default.
- W4296461683 type Work @default.
- W4296461683 citedByCount "0" @default.
- W4296461683 crossrefType "proceedings-article" @default.
- W4296461683 hasAuthorship W4296461683A5011728846 @default.
- W4296461683 hasAuthorship W4296461683A5044846180 @default.
- W4296461683 hasAuthorship W4296461683A5050850601 @default.
- W4296461683 hasAuthorship W4296461683A5072459279 @default.
- W4296461683 hasAuthorship W4296461683A5081311910 @default.
- W4296461683 hasConcept C111919701 @default.
- W4296461683 hasConcept C112698675 @default.
- W4296461683 hasConcept C119857082 @default.
- W4296461683 hasConcept C136197465 @default.
- W4296461683 hasConcept C144133560 @default.
- W4296461683 hasConcept C154945302 @default.
- W4296461683 hasConcept C162324750 @default.
- W4296461683 hasConcept C187736073 @default.
- W4296461683 hasConcept C19235068 @default.
- W4296461683 hasConcept C201280247 @default.
- W4296461683 hasConcept C204321447 @default.
- W4296461683 hasConcept C23123220 @default.
- W4296461683 hasConcept C2780451532 @default.
- W4296461683 hasConcept C41008148 @default.
- W4296461683 hasConcept C94124525 @default.
- W4296461683 hasConcept C98045186 @default.
- W4296461683 hasConceptScore W4296461683C111919701 @default.
- W4296461683 hasConceptScore W4296461683C112698675 @default.
- W4296461683 hasConceptScore W4296461683C119857082 @default.
- W4296461683 hasConceptScore W4296461683C136197465 @default.
- W4296461683 hasConceptScore W4296461683C144133560 @default.
- W4296461683 hasConceptScore W4296461683C154945302 @default.
- W4296461683 hasConceptScore W4296461683C162324750 @default.
- W4296461683 hasConceptScore W4296461683C187736073 @default.
- W4296461683 hasConceptScore W4296461683C19235068 @default.
- W4296461683 hasConceptScore W4296461683C201280247 @default.
- W4296461683 hasConceptScore W4296461683C204321447 @default.
- W4296461683 hasConceptScore W4296461683C23123220 @default.
- W4296461683 hasConceptScore W4296461683C2780451532 @default.
- W4296461683 hasConceptScore W4296461683C41008148 @default.
- W4296461683 hasConceptScore W4296461683C94124525 @default.
- W4296461683 hasConceptScore W4296461683C98045186 @default.
- W4296461683 hasLocation W42964616831 @default.
- W4296461683 hasOpenAccess W4296461683 @default.
- W4296461683 hasPrimaryLocation W42964616831 @default.
- W4296461683 hasRelatedWork W147166030 @default.
- W4296461683 hasRelatedWork W1593502373 @default.
- W4296461683 hasRelatedWork W2979093969 @default.
- W4296461683 hasRelatedWork W3022937510 @default.
- W4296461683 hasRelatedWork W3107474891 @default.
- W4296461683 hasRelatedWork W3157706434 @default.
- W4296461683 hasRelatedWork W3192589309 @default.
- W4296461683 hasRelatedWork W3204019825 @default.
- W4296461683 hasRelatedWork W4205316385 @default.
- W4296461683 hasRelatedWork W4313156585 @default.
- W4296461683 isParatext "false" @default.
- W4296461683 isRetracted "false" @default.
- W4296461683 workType "article" @default.