Feb. 13, 2024, 9:58 p.m. | Kaggle

Kaggle www.youtube.com

About the project:
This project predicts the outcome of the 2023 Nigerian presidential election by using Twitter data to evaluate the sentiments (negative positive and neutral emotions) of Nigerians towards the election.

A total of 20,000 tweets, 5,000 tweets for each specific hashtag; ​​#Obidatti, #Tinubu, #Atiku and #kwankwaso was gathered for this project using snscrape.
The VADER (Valence Aware Dictionary and sEntiment Reasoner) machine learning model was used to simplify the NLP data preprocessing steps for this sentiment analysis.

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Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne