Finding Correlative Associations among News Topics
- Cite this paper as:
- Montes-y-Gómez M., López-López A., Gelbukh A. (2001) Finding Correlative Associations among News Topics. In: Gelbukh A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2001. Lecture Notes in Computer Science, vol 2004. Springer, Berlin, Heidelberg
A method for finding real-world associations between news topics (as distinguished from apparent associations caused by the constant size of the newspaper) is described. This is important for studying society interests.
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