Automatic document categorization using machine learning techniques
In the new age era, there is tons of information published on the web every day. Thus, it will take more times in order for the people to find their specific information online. Therefore, there must be a system that could help the people to categorize the information into different type of topics....
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/53416 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| id |
sg-ntu-dr.10356-53416 |
|---|---|
| record_format |
dspace |
| spelling |
sg-ntu-dr.10356-534162023-07-07T17:28:49Z Automatic document categorization using machine learning techniques Chee, Tuck Keong. Mao Kezhi School of Electrical and Electronic Engineering DRNTU::Engineering In the new age era, there is tons of information published on the web every day. Thus, it will take more times in order for the people to find their specific information online. Therefore, there must be a system that could help the people to categorize the information into different type of topics. These topics can be classified into finance, new, sport and etc. In this project, the goal is to develop that system to perform automatic categorization of documents using machine learning techniques. Bachelor of Engineering 2013-06-03T04:49:21Z 2013-06-03T04:49:21Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/53416 en Nanyang Technological University 45 p. application/pdf |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NTU Library |
| collection |
DR-NTU |
| language |
English |
| topic |
DRNTU::Engineering |
| spellingShingle |
DRNTU::Engineering Chee, Tuck Keong. Automatic document categorization using machine learning techniques |
| description |
In the new age era, there is tons of information published on the web every day. Thus, it will take more times in order for the people to find their specific information online. Therefore, there must be a system that could help the people to categorize the information into different type of topics. These topics can be classified into finance, new, sport and etc. In this project, the goal is to develop that system to perform automatic categorization of documents using machine learning techniques. |
| author2 |
Mao Kezhi |
| author_facet |
Mao Kezhi Chee, Tuck Keong. |
| format |
Final Year Project |
| author |
Chee, Tuck Keong. |
| author_sort |
Chee, Tuck Keong. |
| title |
Automatic document categorization using machine learning techniques |
| title_short |
Automatic document categorization using machine learning techniques |
| title_full |
Automatic document categorization using machine learning techniques |
| title_fullStr |
Automatic document categorization using machine learning techniques |
| title_full_unstemmed |
Automatic document categorization using machine learning techniques |
| title_sort |
automatic document categorization using machine learning techniques |
| publishDate |
2013 |
| url |
http://hdl.handle.net/10356/53416 |
| _version_ |
1772826808361680896 |