Analysing social media sentiment: unravelling the trichotomy of positive, negative, and neutral sentiments in user comments
Reddy Sowmya Vangumalla, Yoonsuk Choi · International Journal of Data Analysis Techniques and Strategies · 2025
This study explores sentiment analysis of Twitter comments, focusing on neutral, negative, and positive attitudes. By applying advanced techniques such as feature engineering, data preprocessing, and machine learning, we aim to derive actionable insights. Our approach involves setting project goals, selecting data sources, and establishing infrastructure for analysis. After preprocessing, we utilise support vector machines (SVMs) for classification and evaluate the model with metrics like accuracy, precision, recall, and F1-score. Visualisation tools, including ROC curves and confusion matrices, help interpret the results. We discuss the limitations and suggest future research to enhance performance and address data quality issues.