Automatic analysis, theme generation, and summarization of machine-readable texts.

  title={Automatic analysis, theme generation, and summarization of machine-readable texts.},
  author={Gerard Salton and James Allan and Chris Buckley and Amit Singhal},
  volume={264 5164},
Vast amounts of text material are now available in machine-readable form for automatic processing. Here, approaches are outlined for manipulating and accessing texts in arbitrary subject areas in accordance with user needs. In particular, methods are given for determining text themes, traversing texts selectively, and extracting summary statements that reflect text content. 
Highly Influential
This paper has highly influenced 14 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 381 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 173 extracted citations

381 Citations

Citations per Year
Semantic Scholar estimates that this publication has 381 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…