When you have applied a topic modeling algorithm to your text data, you need to evaluate its performance and whether it meets expectations. Intrinsic evaluation measures the quality of the topics ...

Community detection in complex networks is an important task in network analysis. And community structures in networks can be detected from many aspects. However, community detection based on topic ...

Community plays an important role in shaping a network. Quantitatively interpreting a community is necessary for graph generalization which is used for privacy preserving, summarization, and ...

Learn how to use topic modeling for text summarization, classification, or clustering. Discover the common algorithms and tools for finding topics in text data.

Introduction: Topic modeling is a technique used to extract topics or themes from a large corpus of text data. Latent Dirichlet Allocation (LDA) is one of the popular algorithms used for topic ...