Image tag relationship study
Due to the increasing use of the Web, there is an increase in the amount of data. Tags which are used to describe a subject it was tagged to, are also being widely used as a result. With a large amount of growing data, it is essential to be able to search efficiently for useful information tha...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/52035 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Due to the increasing use of the Web, there is an increase in the amount of data. Tags which are used to
describe a subject it was tagged to, are also being widely used as a result. With a large amount of growing
data, it is essential to be able to search efficiently for useful information that the users need. Tag classes
become very important for this purpose by quickly filtering out unwanted information and reducing the
search space. It is also useful for other purposes such as recommendation of tags to the users. In this
project, tags studied were used on images and photos only, and were mainly used in photo sharing
websites such as flickr.com. The aim of this project was to implement a Java program to automatically
identify the tag class of a tag, and categorize tags into their respective classes. Both rulebased
classification methods which used boolean matching on a library of keywords, as well as modelbased
classification methods which used machine learning techniques were used to identify different sets of tag
classes. The finished program was run and tested against a set of 500 manually classified tags and the
results showed that it was able to classify most image tags correctly. |
|---|