Word sense disambiguation and information retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Extracting statistical data frames from text
ACM SIGKDD Explorations Newsletter - Natural language processing and text mining
Overview and semantic issues of text mining
ACM SIGMOD Record
Pattern Mining with Natural Language Processing: An Exploratory Approach
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
| Hi-index | 0.00 |
With large amounts of text data now available on-line, both on the Internet and in corporate repositories, text mining is an area of growing interest. Historically, Data Mining researchers have come out of the statistics, database and machine learning communities. Despite a few exceptions, it has by and large had little interaction with the computational linguistics and natural language processing (NLP) community. Given that the subject matter of text mining is free text, one might naturally assume techniques developed over the last few decades in computational linguistics and NLP, should make big contributions towards the younger field of text mining. However, other than in the area of information extraction, empirical evidence has not borne this out.