Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Stage Performance and Musical Analysis of Haacaaluu Hundeessaa Works by using Sentiment Analysis Techniques

Domaine:

natural language processing

Type de record:

paper
Créateur:
GEM
Éditeur:
Tec
Hôte:
This research is initiated to analysis the stage performance and musical analysis of Haacaaluu Hundeessaa works on Afaan oromoo reviews text collected from social Medias by applying the concept of sentiment analysis techniques. The data (reviews) were collected manually from social media on Haacaaluu Hundeessaa musical works. Haacaaluu Hundeessaa is Oromo singer, songwriter, civil rights activist and his being a voice his people. He is the most famous young singer, hero and icon of Oromo musician. From his musical works Sanyii Mootii(Race of the King), Waa'ee Keenyaa(Our Plight), Maalan Jira(What existence is mine), JIRTUU? are the most popular known in Oromo peoples as well as nation and nationality of Ethiopia. From Hacaaluu musical works, the researcher considered reviews (opinions) afaan oromoo text data on his single sang “JIRTUU?” to analysis stage performance of Haacaaluu Hundeessaa’s. The researcher inspires to use this single sang because; reviews (comments) are easier to access, available on you tube channel, extensive in size relatively from other his songs from social media. Additionally this song was broadcast live by Oromia Broadcasting Network and other Medias on different stage. Opinion lexicon approach with contextual valence shifter is used for analyzing opinions (comments) given on stage performance of Haacaaluu Hundeessaa works. Totally 18,687 reviews opinions or sentences were collected for experimentations to analysis stage performance and musical works of Haacaaluu Hundeessaa. Accordingly our result indicates around 99.52 percents peoples likes the stage performance and musical works of Hacaaluu Hundeessaa. From the results researcher observed Haacaaluu Hundeessaa has good performer with sing emotional and physically when he sing on the stages. In future works, further research needs to study others musical works of Hacaaluu Hundeessaa.

Visit

doi.org

Tasks

sentiment analysistext classification

Languages

OromoOromo, Borana-Arsi-GujiOromo, EasternOromo, West Central

Similaires

Hiwotyirga/Sentiment-Analysis-of-Amharic-Language-Texts-Using-Machine-Learning-TechniquesOptimized aspect level sentiment analysis of tweet data using deep learning and rule-based techniquesAspect-Based Sentiment Analysis for Afaan Oromoo Movie Reviews Using Machine Learning TechniquesDesign Amharic Text Sentiment Analysis Model Using Machine Learning Techniques. In Case of Restaurant Reviewsskizza8/Tweets-Sentiment-Analysis-Using-RacketCodeHermez/African-Langs-For-Sentiment-Analysis-Using-AfriSenti-Datasets-Sentiment-Analysis-In-African-Langs-

Hiwotyirga/Sentiment-Analysis-of-Amharic-Language-Texts-Using-Machine-Learning-Techniques

Optimized aspect level sentiment analysis of tweet data using deep learning and rule-based techniques

Social media platforms are no longer just for interacting with others and having fun; they are also

Aspect-Based Sentiment Analysis for Afaan Oromoo Movie Reviews Using Machine Learning Techniques

Aspect-based sentiment analysis (ABSA) is the subfield of natural language processing that deals wit

Design Amharic Text Sentiment Analysis Model Using Machine Learning Techniques. In Case of Restaurant Reviews

skizza8/Tweets-Sentiment-Analysis-Using-Racket

This Code is used to analyse the sentiment of tweets for Uganda in November 2021 using Racket Progra

CodeHermez/African-Langs-For-Sentiment-Analysis-Using-AfriSenti-Datasets-Sentiment-Analysis-In-African-Langs-

A Comparative Study of Monolingual and Multilingual Transfer Learning Strategies with Code-Mixing An