Analysis of Solution Diversity in Topic Models for Smart City Applications
Topic models are known to be useful tools for modeling and analyzing high-dimensional count data such as documents. In a smart city, it is important to collect and analyze citizens’ voices to discover their concerns and issues. Topic modeling is effective for the above analysis because it can extrac...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book Chapter |
| Language: | English |
| Published: |
IntechOpen
2022
|
| Subjects: | |
| Online Access: | https://www.intechopen.com/chapters/82818 |
| Tags: |
No Tags, Be the first to tag this record!
|
| Summary: | Topic models are known to be useful tools for modeling and analyzing high-dimensional count data such as documents. In a smart city, it is important to collect and analyze citizens’ voices to discover their concerns and issues. Topic modeling is effective for the above analysis because it can extract topics from a collection of documents. However, when estimating parameters (solutions) in topic models, various solutions are reached due to differences in algorithms and initial values. In order to select a solution suitable for the purpose from among the various solutions, it is necessary to know what kind of solutions exist. This chapter introduces methods for analyzing diverse solutions and obtaining an overall picture of the solutions. |
|---|---|
| ISBN: | 978-1-80356-764-8 |
| DOI: | 10.5772/intechopen.106009 |