TY  - JOUR
TI  - Estimating spatiotemporal focus of documents using entropy with PMI
AB  - Many text documents are spatiotemporal in nature, i.e. contents of a document can be mapped to a specifictime period or location. For example, a news article about the French Revolution can be mapped to year 1789 as timeand France as place. Identifying this time period and location associated with the document can be useful for variousdownstream applications such as document reasoning or spatiotemporal information retrieval. In this paper, temporalentropy with pointwise mutual information (PMI) is proposed to estimate the temporal focus of a document. PMI isused to measure the association of words with time expressions. Moreover, a word’s temporal entropy is considered as aweight to its association with a time point and a single time point with the highest overall score is chosen as the focustime of a document. The proposed method is generic in the sense that it can also be applied for spatial focus estimationof documents. In the case of spatial entropy with PMI, PMI is used to calculate the association between words and placeentities. The effectiveness of our proposed methods for spatiotemporal focus estimation is evaluated on diverse datasetsof text documents. The experimental evaluation confirms the superiority of our proposed temporal and spatial focusestimation methods.
AU  - YAŞAR, Damla
AU  - Tekir, Selma
DO  - 10.3906/elk-1907-10
PY  - 2020
JO  - Turkish Journal of Electrical Engineering and Computer Sciences
VL  - 28
IS  - 2
SN  - 1300-0632
SP  - 1070
EP  - 1085
DB  - TRDizin
UR  - http://search/yayin/detay/335126
ER  -