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Image illustration of Text using Natural Language Processing

by Pirani Zainab, Amru Ritika, Thakur Aman, Tapadia Sumit, Wagh Maitreya
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 21
Year of Publication: 2015
Authors: Pirani Zainab, Amru Ritika, Thakur Aman, Tapadia Sumit, Wagh Maitreya
10.5120/20273-2687

Pirani Zainab, Amru Ritika, Thakur Aman, Tapadia Sumit, Wagh Maitreya . Image illustration of Text using Natural Language Processing. International Journal of Computer Applications. 115, 21 ( April 2015), 7-12. DOI=10.5120/20273-2687

@article{ 10.5120/20273-2687,
author = { Pirani Zainab, Amru Ritika, Thakur Aman, Tapadia Sumit, Wagh Maitreya },
title = { Image illustration of Text using Natural Language Processing },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 21 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 7-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number21/20273-2687/ },
doi = { 10.5120/20273-2687 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:55:27.406552+05:30
%A Pirani Zainab
%A Amru Ritika
%A Thakur Aman
%A Tapadia Sumit
%A Wagh Maitreya
%T Image illustration of Text using Natural Language Processing
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 21
%P 7-12
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

There is a need in today's world to make learning and understanding various concepts easier. The written text is better understood pictorially. To understand a particular sentence it is necessary to know in what context and what emotion is being portrayed in it. There are various emotions, meaning, significance and content in a particular text. Thus we are going to display the meaning of the text in an image or stream of images form so as to comprehend the text in a better way. To convert the meaning of the text into its images we are making use of Natural Language Processing. An appropriate image related to that text will be feed through this process. This will make the common man understand the text in a more clear form. For this purpose we are developing a software called Image illustration of text using Natural Language Processing.

References
  1. Helmut Schmid, "Probabilistic part-of-Speech Tagging Using Decision Trees" presented at the International Conference on New Methods in Language Processing, 1994, Manchester, UK.
  2. Anne Kao & Steve Poteet, "Text Mining and Natural Language Processing-Introduction for the Special Issue. " presented at the SIGKDD Explorations 2004-05. Volume 7, Issue 1.
  3. SanjeevDhavan, Kulvinder Singh &DeepikaSehrawat, "Emotion Mining Techniques in Social Networking Sites" presented at International Journal of Information & Computation Technology, ISSN 0974-2239, Volume 4.
  4. XinmeiTian, Yijuan Lu, Member; IEEE, and LinjunsYang, Member; IEEE, "Query Difficulty Prediction for Web Image Search" presented at IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 14. AUGUST 2012.
  5. Kobus Barnard, Pinar Duygulu, David Forsyth, Nando de Freitas, David M. Blei, Michael I. Jordan. "Matching Words and Pictures" presented at the Journal of Machine Learning Research 3 (2003).
  6. Amazon studios- http://www. electronista. com/articles/13/06/07/storyteller. scans. scripts. creates. storyboard. from. stock. assests/[Application available online on Google crome]- 20th Oct 2014
  7. Google image search engine-http://www. quora. com/How-does-google-image-search-engine-work [Application available online on Google crome]- 20th Oct 2014
Index Terms

Computer Science
Information Sciences

Keywords

Natural Language processing Natural Language toolkit (nltk) image story image extraction.

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