Adli S.

Mobile Game Sentiment Analysis Project

Kota Samarinda, Indonesia

Key Skills

Software

Other

Top Subject Matter

NLP sentiment analysis (text classification)

Electricity accessibility data analysis (tabular data)

Top Data Types

Text

Top Task Types

Computer Programming/Coding

Classification

Freelancer Overview

Mobile Game Sentiment Analysis Project. Core strengths include Other. Education includes Vocational School Student, SMK Negeri 7 Samarinda (2021). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation and Rating.

Labeling Experience

Electricity Accessibility Data Analysis

Other

Performed exploratory data analysis and statistical analysis in Python to uncover patterns related to electricity accessibility. While not explicitly labeled as an annotation task, the project involved preparing and analyzing dataset features to support classification insights. The work included organizing an analysis workflow consistent with data mining practices. • Conducted EDA and statistical analysis in Python • Analyzed regional electricity accessibility to derive insights • Organized analysis workflow using data mining methodology • Worked with classification-related patterns from data

2024 - 2024

Mobile Game Sentiment Analysis Project

Other

Built sentiment classification models using Naive Bayes in Python and used labeled text data to train and evaluate classifiers. Measured model quality with standard metrics to compare performance across experiments. This work reflects AI training and evaluation on NLP sentiment tasks using programmatic labeling pipelines. • Sentiment classification with Naive Bayes • Evaluated accuracy, precision, recall, and F1-score • Performed model assessment and iteration • Implemented NLP sentiment analysis workflows in Python

2024 - 2024

Education

SMK Negeri 7 Samarinda

Vocational School Student, Vocational School Studies

Vocational School Student

2019 - 2021