Text Mining Research
Welcome to my text mining research portfolio. Through these projects, I've explored various techniques for extracting meaningful patterns and insights from text data, with a focus on environmental discourse analysis and climate change communications.
Text mining combines techniques from natural language processing, machine learning, statistics, and data visualization to discover hidden patterns and relationships in unstructured text. My projects demonstrate the application of these techniques to real-world datasets and research questions.
Featured Project: Climate Change Discourse Analysis
Sustainability Text Analysis
This comprehensive analysis explores public discourse and scientific understanding of climate change through advanced text mining techniques. By analyzing diverse data sources, including social media discussions, scientific publications, and news articles, this project uncovers patterns in how different communities perceive and discuss climate-related issues.
Project Components
Neural Networks for NLP
This project explores how neural networks can be applied to extract meaningful insights from textual data, with applications in environmental discourse analysis.
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Text Mining Techniques
My research employs a variety of computational methods to analyze text data. Each technique offers unique insights into the structure, content, and meaning of text.
Unsupervised Learning
Discovering hidden patterns and structures in text without labeled data
Clustering Topic Modeling (LDA) Association Rule MiningSupervised Learning
Classifying text into predefined categories using labeled training data
Classification Overview Naive Bayes Decision Trees Support Vector MachinesNeural Networks
Deep learning approaches for complex language understanding tasks
Neural Network ModelsExplore the Code
All code, datasets, and detailed documentation for these text mining projects are available in my GitHub repository. Feel free to explore, fork, or contribute to these projects.
View on GitHubRead My Project Conclusions
Curious about what I've learned from this text mining journey? Check out my non-technical reflections and insights.
Explore Project Conclusions