Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
The innovator's dilemma: when new technologies cause great firms to fail
The innovator's dilemma: when new technologies cause great firms to fail
Information Processing and Management: an International Journal
ACM SIGIR Forum
Automatic Keyword Extraction Using Domain Knowledge
CICLing '01 Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing
Text mining techniques for patent analysis
Information Processing and Management: an International Journal
Graph-based keyword extraction for single-document summarization
MMIES '08 Proceedings of the Workshop on Multi-source Multilingual Information Extraction and Summarization
Identifying new business areas using patent information: A DEA and text mining approach
Expert Systems with Applications: An International Journal
Document frequency and term specificity
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
How to design and utilize online customer center to support new product concept generation
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Innovation support system for creative product design based on chance discovery
Expert Systems with Applications: An International Journal
An automated method for identifying TRIZ evolution trends from patents
Expert Systems with Applications: An International Journal
Weak signal identification with semantic web mining
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
In an uncertain business environment, competitive intelligence requires peripheral vision to scan and identify weak signals that can affect the future business environment. Weak signals are defined as imprecise and early indicators of impending important events or trends, which are considered key to formulating new potential business items. However, existing methods for discovering weak signals rely on the knowledge and expertise of experts, whose services are not widely available and tend to be costly. They may even provide different analysis results. Therefore, this paper presents a quantitative method that identifies weak signal topics by exploiting keyword-based text mining. The proposed method is illustrated using Web news articles related to solar cells. As a supportive tool for the expert-based approach, this method can be incorporated into long-term business planning processes to assist experts in identifying potential business items.