Logo Lanfrica

SENTIMENT ANALYSIS AND TOPIC MODELING OF TWITTER FEEDS DURING THE NIGERIA END-SARS PROTESTS: Natural Language Approach to Social Media Mining

Domaine:

natural language processingpeace and security
Créateur:
ColImo
Éditeur:
unp
Hôte:avatar

Tasks

sentiment analysistext classificationtopic classification

Similaires

TunVeCTM: A Topic Modeling Approach of Tunisian Dialect on Social Media

Social Media as Solidarity Vehicle During the 2020 #EndSARS Protests in Nigeria

This study interrogates how protesters learned about and planned the 2020 #EndSARS protests in Niger

Crisis Informatics and Applied Social Media Mining: End-to-End Multi-Stage ML Pipeline

Abstract—This paper presents an end-to-end machine learning
approach for min

Multi-Expert Topic Modeling for Code-Switched Dialectal Arabic: A Dynamic Routing Approach to Tunisian Social Media Analysis

Sentiment Analysis for the African Language Twi: Translation-based vs. End-to-End Approaches

This paper presents our approach to sentiment analysis for Twi, a low-resource African language. We

Sentiment Classification of Safaricom PLC Social Media Sentiments on X(Formerly Twitter)

International audience In today's digital era, social media plays a pivotal role in s