Abstract
With the advent of technology, the impact of smartphones on business, health, psychology, education and social relations has increased. This paper presents germinal results of a study conducted to not only analyse but also predict the negative impact of smartphone usage. A survey was conducted in two parts, one for identifying impact of smartphones on academics of student and other to identify the effect on lives of adults who have finished their education. We used Natural Language Processing to conduct sentiment analysis on answers to subjective questions. Supervised Machine learning algorithms were used to conduct the analyses of impact of smartphones on academics whereas Unsupervised Machine Learning Algorithms were used to analyse the survey on adults. Neural Networks model was trained and tested on both the survey data. The results of these algorithms were compared and analysed to find which algorithm is better in which situations.
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Ballal, I.P., Nadkarni, K.P. (2020). Data Analysis and Prediction of Survey on Effect of Smart Phones on Society. In: Hitendra Sarma, T., Sankar, V., Shaik, R. (eds) Emerging Trends in Electrical, Communications, and Information Technologies. Lecture Notes in Electrical Engineering, vol 569. Springer, Singapore. https://doi.org/10.1007/978-981-13-8942-9_6
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DOI: https://doi.org/10.1007/978-981-13-8942-9_6
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