This demonstrates an approach for summarizing a text. This flow will calculate the most important sentences and most important tokens from the text and display these sentences and tokens. An algorithm is an iterative approach where the top sentences include the top words and top words exist in top sentences.


Yasui, N. I., X. Llorà, Saruwatari, S., Goldberg, D. E. (2008). Facilitation Support for On-line Focus
Group Discussions by Message Feature Map. Proceedings of the International Conference on Enterprise
Information Systems (ICEIS).

One Response to “Text Summarizer”

  1. 4Humanities@UCSB Meeting 4 | 4Humanities Says:

    […] Tools” in OJS Data-mining tools (e.g., TAPoR, SEASR) — http://entry.tapor.ca/http://seasr.org/documentation/example-flows/text-summarizer/ Google Ngram Viewer — […]