An Activation Method of Topic Dictionary to Expand Training Data for Trend Rule Discovery
This paper improves a method which predicts whether evaluation objects such as companies and products are to be attractive in near future. The attractiveness is evaluated by trend rules. The trend rules represent relationships among evaluation objects, keywords, and numerical changes related to the...
Saved in:
Main Authors: | Shigeaki Sakurai, Kyoko Makino, Shigeru Matsumoto |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | Applied Computational Intelligence and Soft Computing |
Online Access: | http://dx.doi.org/10.1155/2014/871412 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Prerecognition Model for Hot Topic Discovery Based on Microblogging Data
by: Tongyu Zhu, et al.
Published: (2014-01-01) -
E-guided discovery module for cartesian coordinates topic in junior high school
by: Dian Permatasari, et al.
Published: (2024-12-01) -
The limitation of the discovery rules of Court against the right of access to information in South Africa
by: Rashri Baboolal-Frank, et al. -
ZenLDA: Large-Scale Topic Model Training on Distributed Data-Parallel Platform
by: Bo Zhao, et al.
Published: (2018-03-01) -
TAME 2.0: expanding and improving online data science training for environmental health research
by: Alexis Payton, et al.
Published: (2025-02-01)