Automatic Image Tagging Based on Text Analysis Using Natural Language Processing Techniques

Authors

  • Alok Maity Student, Department of Computer Science and Engineering, Jadavpur University

DOI:

https://doi.org/10.31305/rrijm.2022.v07.i11.006

Keywords:

Automatic Image Tagging, Text Analysis, Natural Language Processing Techniques

Abstract

I have seen that in any newspaper there are many articles related to different things and the article consists of some text and one or more images which are related to the given text. Some of the images given in the article have caption (which depicts the image) and the other images do not have any caption. Hence if I download the image which has no caption then after download, I will not understand what the image specifically describes.

To address this kind of situation it is necessary to give the image some caption which depicts about the situation of the image and the information about the image. After download the image if I give some relevant tag to the image then it will be helpful for all.

In modern era images are taken and stored digitally. Also, the prices of the image capturing devices are decreasing. Hence people are taking more and more pictures but handling of pictures are necessary at this situation. Additionally, there is a huge uptick in the use of web-based image-sharing programmes or applications. One of the most widely used of these applications is Flickr, which was acquired by Yahoo and now stores over 4 billion images.

Image tagging by hand takes time and is subjective. Nobody has time to tag their images. Additionally, because people differ and think in different ways, comparable images will be tagged in various ways by different people. Differences in language, emotion, vocabulary, education, culture, taste, etc. may be the root of this.

Author Biography

Alok Maity, Student, Department of Computer Science and Engineering, Jadavpur University

Alok Maity received his Bachelor of Science (B.Sc Hons.) in Mathematics with first class from Calcutta University, Kolkata, West Bengal, India. He obtained rank 290/2200+ in State-level entrance exmination for Masters in computer application (West Bengal Joint Entrance Examination),2014. He received his Master of Computer Application (MCA) with first class in Computer Sc. and Engineering from Jadavpur University, Kolkata, West Bengal, India. He worked as Software Engineer in Bitpastel Solution Private Limited, Kolkata, West Bengal, India. After then he worked as Software Engineer (Full Stack Developer) in Zededa India Private Limited, Banglore, India. He cracked one of toughest examination in India for Ph.D admission is UGC NET Examination in 2022, November. Currently he is looking for Ph.D admission in top IITs in India as well as top Universities in USA,UK,EUROPE,AUSTRALIA.

References

McCarthy, D., and Navigli, R. (2007). The semeval English lexical substitution task. In Proceedings of the ACL Semeval workshop.

Deschacht, K., and Moens, M. (2007). Text analysis for automatic image annotation. In Proceedings of the Association for Computational Linguistics.

Leong, C. W., Mihalcea, R., and Hassan, S. (2010). Department of Computer Science and Engineering, University of North Texas. Text mining for automatic image tagging.

Moran, S. (2009). University of Edinburgh. Automatic image tagging.

Ghosh, S. (2013). A tutorial review of automatic image tagging technique using text mining. Department of Computer Science and Engineering, University College of Science, Technology and Agriculture, University of Calcutta. Samir Kumar Bandyopadhyay, Dept. of Computer Science & Engineering, University of Calcutta.

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Published

12-11-2022

How to Cite

Maity, A. (2022). Automatic Image Tagging Based on Text Analysis Using Natural Language Processing Techniques. RESEARCH REVIEW International Journal of Multidisciplinary, 7(11), 23–28. https://doi.org/10.31305/rrijm.2022.v07.i11.006