Topic Model

Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models

Topic models have been widely used to discover hidden topics in a collection of documents. In this paper, we propose to investigate the role of two different types of relational information, i.e. document relationships and concept relationships. …

Unsupervised Irony Detection: A Probabilistic Model with Word Embeddings

The automatic detection of figurative language, such as irony and sarcasm, is one of the most challenging tasks of Natural Language Processing (NLP). This is because machine learning methods can be easily misled by the presence of words that have a …