Title
Topic Graph Generation for Query Navigation: Use of Frequency Classes for Topic Extraction
Abstract
To make an interactive guidance mecha- nism for document retrieval systems, we developed a user-interface which presents users the visualized map of topics at each stage of retrieval process. Topic words are automatically extracted by frequency analysis and the strength of the relation- ships between topic words is measured by their co-occurrence. A major factor affecting a user's impression of a given topic word graph is the balance between common topic words and specific topic words. By using frequency classes for topic word extraction, we made it pos- sible to select well-balanced set of topic words, and to adjust the balance of com- mon and specific topic words.
Year
Venue
Keywords
1997
Clinical Orthopaedics and Related Research
frequency analysis,document retrieval,user interface
Field
DocType
Volume
Graph generation,Information retrieval,Document clustering,Computer science,Impression,Artificial intelligence,Natural language processing,Document retrieval,Word graph
Journal
cmp-lg/971
ISSN
Citations 
PageRank 
Proceedings of NLPRS'97, Natural Language Processing Pacific Rim Symposium '97, pages 95-100, Phuket, Thailand, Dec. 1997
10
1.09
References 
Authors
5
5
Name
Order
Citations
PageRank
Yoshiki Niwa113121.72
Shingo Nishioka228075.53
Makoto Iwayama343687.03
Akihiko Takano423851.95
Yoshihiko Nitta58021.77