DESIGNING AND IMPLEMENTING AN OPINION MINING ANALYSIS USING ARTIFICIAL INTELLIGENCE
DOI:
https://doi.org/10.46754/jmsi.2025.12.005Keywords:
Behavioural analysis, natural language processing, online social media, sentiment analysis, supervised learningAbstract
This study examines the impact of integrating, evaluating, executing, and analysing a model. This involves downloading Twitter information and inserting it into the MongoDB database. The Twitter samples and the extracted features, together with a trained classifier based on supervised learning, their polarity, and emotional words. The insights from the study will help in understanding sentiment analysis using machine learning techniques. The MongoDB database driver, data preprocessing, and sentiment analysis were successfully connected to retrieve text. Visualisations were successful. The application can display graphs and bar charts.
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