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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Crime Pattern Analysis by Identifying Named Entities and Relation Among Entities
verfasst von : Priyanka Das, Asit Kumar Das
Erschienen in: Advanced Computational and Communication Paradigms
Verlag: Springer Singapore
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Abstract
The present work proposes an unsupervised method for identifying named entities from a corpus of crime reports containing information on crime against women in Indian states and union territories and subsequently discovers substantial relations among the identified named entities. For discovering the relations, different types of entity pairs have been chosen and similarity among them has been measured based on the intermediate context words. Depending on the similarity score, clustering technique has been applied that forms several clusters of named entity pairs. Each cluster consists of a representative entity pair and relation of that representative pair corresponds to the relation of the whole cluster formed, leading to the relational labelling of the clusters. This method does not desire any time consuming richly annotated corpora and the result with high F-measure values depicts the effectiveness of this method.