Understanding Textbook of History with Pictorial Representation using NLP
Author(s) -
Abhishek Mukherjee,
Nikhar Jain,
Pratik Nandurkar,
Pooja Vengurlekar
Publication year - 2019
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2019919153
Subject(s) - computer science , representation (politics) , natural language processing , artificial intelligence , information retrieval , law , politics , political science
Every day the number data is generated on the internet. It is very challenging to determine the importance of the content. Text picturing helps a lot to understand the concept related to the text. Text picturing is a cognitive aid that can help with text understanding, as it helps users decide if the text deserves closer look by showing relevant pictures along with the text. The writers, bloggers, and editorial person link the text with media content is crucial. Visual content helps readers follow the root of a discussion or identify the core theme of an article. In efforts to arrange and display helpful images, content managers, news writers, and user-interface designers perform page layout, assigning images to concepts. To improve image-retrieval accuracy, a number of issues must be addressed. Readers of businesses reports, newspapers, and social media face the challenge of interpreting large volumes of text in a short amount of time. Students, Teachers, Professors or History enthusiast face the challenge to identify large data in a short amount of time. This can lead to loss of important information. Survey shows that images related to such topics are helpful for the reader to understand and remember the
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