Urdusentiment analysis using supervised machine learning approach
… This makes the task ofUrduSA tougher. The approaches that are developed for …Urdumainly due to the reasons that are mentioned above. In this research, sentence-level SA ofUrdu…
Monitoring AI enhancements in Urdu
Google Scholar papers focused on Urdu AI, LLMs, and datasets
… This makes the task ofUrduSA tougher. The approaches that are developed for …Urdumainly due to the reasons that are mentioned above. In this research, sentence-level SA ofUrdu…
…Urduis a morphologically rich language, …Urdutext and also considering the syntax,morphological similarity and other common features and stemming approaches used inUrdulike …
… Some heuristics had positive impact on accuracy butNLPdid not exhibit significant … Wecollect dataset ofUrdudocuments from multiple sources likeUrdublogs, news portals,Urdu…
… that overlap with the Arabic alphabet such asUrduand Persian. The challenge was to …detect 55 languages including Arabic, Persian andUrdu. The library provides an estimate of …
…NLPbecause of its compositional behavior. In this paper, we have presented the classificationof multiword expressions and also designed some MWE tags for annotation ofUrdu…Urdu…
…NLPthrough Sahih BukhariUrdutranslation book and our ultimate objective is to build anInformation Retrieval (IR) System in which users can query and get the best results.Urduis a …
…Naturallanguageprocessing(NLP) is an area focused on … to a number ofNLPtasksconsidering speech recognition, … , that includes numerous implications inNLP. Many part of …
… words fromUrdudocuments. There have been a lot of work in domains likenaturallanguageprocessing(NLP), sentence boundary disambiguation and stemming forUrdulanguage …
…NaturalLanguageProcessing(NLP), text analysis and computational linguistics to identifyand extract subjective information in data. Opinion mining forUrdu… focusing onUrdulanguage…
… Semantic similarity (SS) analysis has become an important research area withinnaturallanguageprocessing(NLP). Due to tremendous increase in online data, it is quite difficult to …
… on severalNaturalLanguageProcessing(NLP) applications. … is a necessary componentfor severalNLPapplications. An … by the researchers and academia forNLPprocessing. In this …
… which will eliminate theUrdudocument stop words. Many … likenaturallanguageprocessing(NLP), stemming forUrdu… forUrdulanguage that can remove the stop words from anUrdu…