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.

A SEMANTIC ANALYSIS OF SELECTED PETER OBI’S POLITICAL CAMPAIGN TWEETS AND READERS’ COMMENTS

Domaine:

natural language processing
Créateur:
PETOLURASAKE
Éditeur:
Whi
Hôte:
The purpose of this study was to analyse the semantic characteristics of Peter Obi's political campaign tweets and comments on Twitter. This study is based on the semantic analysis theoretical framework. This study used a mixed method research design, focusing on Peter Obi's political campaign tweets and readers' comments on Twitter. Data collection involves retrieving tweets and extracting comments via Twitter's API or third-party tools. Data analysis includes rule-based methods, machine learning algorithms, or pre-trained models. A purposive random selection technique is adopted due to impracticality and space constraints. The study explores the themes in Peter Obi’s tweets, focusing on political reformation, ethnicity, and youth development. Obi addresses the political consequences of bad governance and emphasises the need for good governance. He uses ethnicity as a metaphor for national rebirth and progress, recognizing Nigeria’s multi-tribal nature. This research reveals key insights into the communication strategies used and the public's response. Through the analysis of language, sentiment, and themes, it becomes evident that Obi's tweets aimed to convey specific policy points while fostering a positive emotional connection with the audience. Reader comments reflect varying degrees of support, skepticism, and engagement with his message. This analysis sheds light on the effectiveness of his online campaign in conveying his political agenda and elicitingpublic reactions. By continually studying and analysing political discourse on social media from a semantic perspective, we can deepen our understanding of the complex interplay between language and persuasion in the realm of politics.

Visit

doi.org

Tasks

sentiment analysistext classification

Similaires

Irregular Migration in E-Newspapers: A Critical Discourse Analysis of Readers' CommentsHate Speech in Readers’ Comments and the challenge of Democratic Consolidation in Nigeria: A Critical AnalysisFebruary 2023 Tweets containing Peter ObiPolitical campaign and democratisationCombining Machine Learning and Semantic Analysis for Efficient Misinformation Detection of Arabic Covid-19 TweetsEgypt - Arabic Political 600k Tweets

Irregular Migration in E-Newspapers: A Critical Discourse Analysis of Readers' Comments

With the rising rate of Internet penetration in Morocco, e-newspapers, which have become a popular t

Hate Speech in Readers’ Comments and the challenge of Democratic Consolidation in Nigeria: A Critical Analysis

Hate speech is among the most significant communication issues that preoccupy the agenda of relevant

February 2023 Tweets containing Peter Obi

This repository contains tweets posted between February 1 to 24, 2023 mentioning the presidential ca

Political campaign and democratisation

Abstract The use of hate speech for political mobilisation and its overall impact on democratisatio

Combining Machine Learning and Semantic Analysis for Efficient Misinformation Detection of Arabic Covid-19 Tweets

With the spread of social media platforms and the proliferation of misleading news, misinformation d

Egypt - Arabic Political 600k Tweets

فيما يتعلق بالاحداث السياسية يوم ١٦/٩/٢٠١٩