Sparse Biterm Topic Model for Short Texts

• Published in: Web and Big Data pp. 227 - 241
• Main Authors: Zhu, Bingshan, Cai, Yi, Zhang, Huakui
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Short texts; Topic modeling; Topic sparsity

Extracting meaningful and coherent topics from short texts is an important task for many real world applications. Biterm topic model (BTM) is a popular topic model for short texts by explicitly model word co-occurrence patterns in the corpus level. However, BTM ignores the fact that a topic is usual...