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Erschienen in:
2020 | OriginalPaper | Buchkapitel
Relation Extraction and Visualization Using Natural Language Processing
verfasst von : B. K. Uday, Kailash Gogineni, Akhil Chitreddy, P. Natarajan
Erschienen in: Innovations in Computer Science and Engineering
Verlag: Springer Singapore
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Abstract
This paper discusses relationship extraction among actors/nodes in the text provided. Given a text data, relationships are extracted using natural language processing and shown in a graph. Proper identification of “Nouns” and “Pronouns” can help to identify the actors/characters in the given text. Any relation usually would be between/among the nouns, so this paper first aims to extract “Nouns” and “Pronouns” in the given text and discusses how relation is extracted between/among them. Paper discusses step by step procedure of finding relation among actors/characters in the given plot/text. There are two prominent phases; one is, extracting “Nouns” and “Pronouns,” and the other is the relation among the characters/actors. This methodology is applied on movie story plot and tested. The above said methodology is applied on movie “Baahubali,” as it contains many characters and relations.