AI Model Trainer – Sentiment Analysis Project
OtherTextClassification
Performed sentiment classification on the IMDb movie reviews dataset as part of an academic project. Utilized text preprocessing and basic machine learning techniques to train a classification model distinguishing positive from negative sentiments. Leveraged Python libraries Pandas and NumPy for organizing and analyzing textual data.
• Managed the cleaning and organization of large-scale text data.
• Prepared labeled datasets to train simple sentiment analysis algorithms.
• Focused on improving the accuracy of AI text classification models.
• Gained hands-on exposure to foundational data labeling and AI training workflows.
Performed sentiment classification on the IMDb movie reviews dataset as part of an academic project. Utilized text preprocessing and basic machine learning techniques to train a classification model distinguishing positive from negative sentiments. Leveraged Python libraries Pandas and NumPy for organizing and analyzing textual data. • Managed the cleaning and organization of large-scale text data. • Prepared labeled datasets to train simple sentiment analysis algorithms. • Focused on improving the accuracy of AI text classification models. • Gained hands-on exposure to foundational data labeling and AI training workflows.
2023 - 2023