Header menu link for other important links
X
Relation Extraction and Visualization Using Natural Language Processing
Uday B.K., Gogineni K., Chitreddy A.,
Published in Springer
2020
Volume: 103
   
Pages: 633 - 640
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. © 2020, Springer Nature Singapore Pte Ltd.
About the journal
JournalData powered by TypesetLecture Notes in Networks and Systems
PublisherData powered by TypesetSpringer
ISSN23673370
Open AccessNo