Document categorization using Machine learning techniques
In order to gain information from huge amount of text more efficiently and accurately, readers may use a system which can automatically categorize input text files and generate summary for each categories. The more precise outcomes from the system, the more less time spending on searching of reading...
Saved in:
Main Author: | Hu, Jing |
---|---|
Other Authors: | Mao, Kezhi |
Format: | Final Year Project |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/61495 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Automatic document categorization using machine learning techniques
by: Chee, Tuck Keong.
Published: (2013) -
Face swapping based on machine learning
by: Zhou, Suxi
Published: (2021) -
A comparative study of machine generated extracts and human generated extracts
by: Yeo, Hwee Tiong.
Published: (2009) -
Interaction techniques for 3D visual exploration on large displays
by: Song, Peng.
Published: (2013) -
Application of machine learning techniques on cryptocurrency index prediction
by: Muhammad Hisyam Jukifli
Published: (2021)