Title: Sentiment analysis and word cloud analysis on e-waste news headlines using Python

Authors: Shalini Wadhwa; Ananya Shukla

Addresses: Department of Technology Management, SVKM's NMIMS Mukesh Patel School of Technology Management and Engineering, India ' Department of Technology Management, SVKM's NMIMS Mukesh Patel School of Technology Management and Engineering, India

Abstract: E-waste or electronic waste is described as the waste electronic goods such as computers, smartphones, TVs, etc. Due to rapid technological advancement, e-waste or electronic waste has been increasing on a much faster rate. Electrical and electronic waste in India is increasing at an alarming rate of almost 3 million tons annually, out of which only 17.4% was recycled sustainably. India ranked third in producing e-waste globally after China and the USA. The ever-growing market of electronic equipment has also generated an ever-growing problem of e-waste. E-waste has become one of the issues for both the environment and human health. Therefore, it has become important to analyse the effect of e-waste on living beings especially in India. This report analyses the sentiment analysis and word cloud analysis on the e-waste news headlines generated by Indian news media.

Keywords: e-waste; sentiment analysis; wordcloud; opinion analysis; electronic waste; environment; sustainability; business; consumer.

DOI: 10.1504/IJEWM.2025.146556

International Journal of Environment and Waste Management, 2025 Vol.37 No.2, pp.201 - 214

Received: 28 Feb 2023
Accepted: 16 Aug 2023
Published online: 04 Jun 2025 *

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