Description

In this research, I try to solve multi-class multi-label classication problem, where

the goal is to automatically assign one or more labels(tags) to discussion topics seen

in deepweb. I observed natural hierarchy

In this research, I try to solve multi-class multi-label classication problem, where

the goal is to automatically assign one or more labels(tags) to discussion topics seen

in deepweb. I observed natural hierarchy in our dataset, and I used dierent

techniques to ensure hierarchical integrity constraint on the predicted tag list. To

solve `class imbalance' and `scarcity of labeled data' problems, I developed semisupervised

model based on elastic search(ES) document relevance score. I evaluate

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    • 2018
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    • Masters Thesis Computer Science 2018

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