Matches in SemOpenAlex for { <https://semopenalex.org/work/W2749276066> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W2749276066 endingPage "4" @default.
- W2749276066 startingPage "1" @default.
- W2749276066 abstract "Objectives: The purpose of this conceptual paper is to highlight the process involved in handling of editorials based on Urdu morphology for better classification purpose. Methods: The first step is to collect editorials belongs to different categories, Corpus will be formed by the collected data, preprocessing activities makes corpus more reliable and relevant. Naive Bayes will be used for classification purpose. Naive Bayes is identified as best technique for serving as a document classification model, it produces fastest and accurate results as well as very robust to irrelevant features. Findings: Handling Urdu morphology is one of the biggest tasks of our research, to handle this problem we need to encode corpus by using utf-8 encoding and thereby changing system locale Urdu easily appear in readable form. Application: The main purpose of this approach is to work on classification of Urdu documents, as Urdu is a South Asian Language, which is among the widely spoken in the sub-continent. Urdu document classification involves all the pre-processing activities such as Language processing tasks, labeling and tagging; the tool explored will be R. It will be very helpful for all the firms who manage and manipulate data in Urdu languages e.g. this approach can be implemented on all Urdu news editorials so that all the editorials will be classified to different sub-categories so that user can extract the information he is looking for. This research is still in progress and may very time to time." @default.
- W2749276066 created "2017-08-31" @default.
- W2749276066 creator A5015194900 @default.
- W2749276066 creator A5050202745 @default.
- W2749276066 creator A5066695678 @default.
- W2749276066 creator A5070628073 @default.
- W2749276066 date "2017-02-01" @default.
- W2749276066 modified "2023-10-18" @default.
- W2749276066 title "Urdu Documents Classification using Naïve Bayes" @default.
- W2749276066 cites W2052592714 @default.
- W2749276066 cites W2064794832 @default.
- W2749276066 cites W2321389449 @default.
- W2749276066 cites W2342969114 @default.
- W2749276066 cites W2602422720 @default.
- W2749276066 doi "https://doi.org/10.17485/ijst/2017/v10i29/116525" @default.
- W2749276066 hasPublicationYear "2017" @default.
- W2749276066 type Work @default.
- W2749276066 sameAs 2749276066 @default.
- W2749276066 citedByCount "4" @default.
- W2749276066 countsByYear W27492760662020 @default.
- W2749276066 countsByYear W27492760662021 @default.
- W2749276066 countsByYear W27492760662022 @default.
- W2749276066 crossrefType "journal-article" @default.
- W2749276066 hasAuthorship W2749276066A5015194900 @default.
- W2749276066 hasAuthorship W2749276066A5050202745 @default.
- W2749276066 hasAuthorship W2749276066A5066695678 @default.
- W2749276066 hasAuthorship W2749276066A5070628073 @default.
- W2749276066 hasBestOaLocation W27492760661 @default.
- W2749276066 hasConcept C107673813 @default.
- W2749276066 hasConcept C12267149 @default.
- W2749276066 hasConcept C138885662 @default.
- W2749276066 hasConcept C153180895 @default.
- W2749276066 hasConcept C154945302 @default.
- W2749276066 hasConcept C207201462 @default.
- W2749276066 hasConcept C2777350258 @default.
- W2749276066 hasConcept C41008148 @default.
- W2749276066 hasConcept C41895202 @default.
- W2749276066 hasConcept C52001869 @default.
- W2749276066 hasConceptScore W2749276066C107673813 @default.
- W2749276066 hasConceptScore W2749276066C12267149 @default.
- W2749276066 hasConceptScore W2749276066C138885662 @default.
- W2749276066 hasConceptScore W2749276066C153180895 @default.
- W2749276066 hasConceptScore W2749276066C154945302 @default.
- W2749276066 hasConceptScore W2749276066C207201462 @default.
- W2749276066 hasConceptScore W2749276066C2777350258 @default.
- W2749276066 hasConceptScore W2749276066C41008148 @default.
- W2749276066 hasConceptScore W2749276066C41895202 @default.
- W2749276066 hasConceptScore W2749276066C52001869 @default.
- W2749276066 hasIssue "29" @default.
- W2749276066 hasLocation W27492760661 @default.
- W2749276066 hasOpenAccess W2749276066 @default.
- W2749276066 hasPrimaryLocation W27492760661 @default.
- W2749276066 hasRelatedWork W1990551557 @default.
- W2749276066 hasRelatedWork W2034755993 @default.
- W2749276066 hasRelatedWork W2752642517 @default.
- W2749276066 hasRelatedWork W3005023910 @default.
- W2749276066 hasRelatedWork W3036572643 @default.
- W2749276066 hasRelatedWork W3044272884 @default.
- W2749276066 hasRelatedWork W3134391916 @default.
- W2749276066 hasRelatedWork W3203501097 @default.
- W2749276066 hasRelatedWork W4286960226 @default.
- W2749276066 hasRelatedWork W4313203779 @default.
- W2749276066 hasVolume "10" @default.
- W2749276066 isParatext "false" @default.
- W2749276066 isRetracted "false" @default.
- W2749276066 magId "2749276066" @default.
- W2749276066 workType "article" @default.