%0 Journal Article %1 FT012 %A Bookstein, A. %A Swanson, D. R. %D 1974 %J Journal of the American Society for Information Science %K imported %P 312-318 %T Probabilistic Models of Automatic Indexing %V 25

@article{FT012, added-at = {2009-06-22T10:05:09.000+0200}, author = {Bookstein, A. and Swanson, D. R.}, biburl = {https://www.bibsonomy.org/bibtex/229ef541168cd8fc85e8adf80c335d5ec/n.nanas}, interhash = {5f6d177f4db7e9dc417bb6208fb6f97a}, intrahash = {29ef541168cd8fc85e8adf80c335d5ec}, journal = {Journal of the American Society for Information Science}, keywords = {imported}, pages = {312-318}, qnote = {Very relevant. The underlying concept is the same. If you identify content bearing words these could be used for indexing. Content bearing words can be ideintified in terms of their distributions. However the paper proposed the use of a Poisson model and is based on the characteristics of the distribution of words within documents. (Within document frequency).}, timestamp = {2009-06-23T10:19:15.000+0200}, title = {Probabilistic Models of Automatic Indexing}, volume = 25, year = 1974 }