Abstract
Many innovations are frequently rejected by the general public owing to controversies, which has a detrimental impact on their acceptance and their commercialization. Recently, there is an increase in the use of microblogging sites such as Twitter, Instagram, and Reddit, and thanks to these, the general public may convey their views and thoughts on any issue more easily than ever before. We aim to explore unlabelled Twitter data and use the sentiment analysis tool VADER on it to determine the general public’s perception of autonomous vehicles. The data from Twitter is pre-processed using the tools provided by the NLTK library, and then a sentiment intensity value is calculated for each tweet using VADER’s sentiment intensity analyser. We count the number of tweets that have positive, negative, or neutral impressions and identify why. We collected a total of 35,476 tweets and finally analysed 32,976 tweets after pre-processing.
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Gupta, A.S., Sharma, S. (2023). Analysis of Public Perception of Autonomous Vehicles Based on Unlabelled Data from Twitter. In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Infrastructure and Computing. Lecture Notes in Networks and Systems, vol 520. Springer, Singapore. https://doi.org/10.1007/978-981-19-5331-6_7
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DOI: https://doi.org/10.1007/978-981-19-5331-6_7
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