Self-organizing Maps for Text Similarity Analysis

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Self-Organizing Maps (SOMs) are a form of unsupervised neural network that are used for visualization and exploratory data analysis of high dimensional datasets. Through a paper presentation, I explained how to use SOM on text similarity analysis in a visual method.