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Sentiment Analysis of GEMS application process for Sesotho sa Leboa language using NLP

Type de record:

dataset
Créateur:
HlaMosSunPiu
Éditeur:
Elsevier BV
Hôte:

Visit

doi.org

Tasks

sentiment analysistext classification

Languages

Sotho, NorthernSotho, Southern

Similaires

Quantitative analysis of Sesotho sa Leboa part-of-speech taggersUsing Topic Modeling to Find Hidden Structures in the Language of Sesotho sa LeboaSesotho sa Leboa Spelling Checker 1.1Sesotho sa Leboa Genre Classification CorpusAfrican Wordnet: Sesotho sa Leboa 1.0Context-Based Question Answering Using Large Language BERT Variant Models for Low Resourced Sesotho sa Leboa Language

Quantitative analysis of Sesotho sa Leboa part-of-speech taggers

Using Topic Modeling to Find Hidden Structures in the Language of Sesotho sa Leboa

Sesotho sa Leboa Spelling Checker 1.1

Spelling checkers and hyphenators for South African languages compatible with Microsoft® Office 2000

Sesotho sa Leboa Genre Classification Corpus

Contains training and testing data for Genre Classification for Sesotho sa Leboa.

African Wordnet: Sesotho sa Leboa 1.0

Developed using the expand model with Princeton WordNet 2.0 as basis. Each wordnet contains synsets

Context-Based Question Answering Using Large Language BERT Variant Models for Low Resourced Sesotho sa Leboa Language