Semantically Time Tracking of Events from Web Documents

Authors

Keywords:

Tracking Events, Word Embeedings, Search Engines

Abstract

Exploring large news collections created by media outlets with traditional search engines is impractical for demanding users. Thus, we propose a temporal exploration tool that aims to facilitate the consultation of news collections. We concentrated our efforts on two fronts (i) allowing users to make queries with the addition of information from documents represented by word embbedings and (ii) developing a strategy for retrieving temporal information to generate timelines presented by an appropriate interface. We evaluated our solution in a collection of a Brazilian newspaper and demonstrated that it can draw different timelines, covering different subtopics of the same theme.

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References

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Published

2021-06-03

How to Cite

Santos, W., & Rocha, L. (2021). Semantically Time Tracking of Events from Web Documents. Electronic Journal of Undergraduate Research on Computing, 19(2). Retrieved from https://journals-sol.sbc.org.br/index.php/reic/article/view/2085

Issue

Section

Special Issue: CTIC/CSBC