Publication Type : Conference Paper
Publisher : INCET
Source : 2022 3rd International Conference for Emerging Technology (INCET), 2022
Url : https://ieeexplore.ieee.org/document/9825160
Campus : Bengaluru
School : Department of Computer Science and Engineering
Department : Computer Science and Engineering
Year : 2022
Abstract : The rate of communication or the information exchange is directly proportional to the rate of development. 5G is one of the emerging technologies in the field of communication and it is expected to find a use case in every domain possible from day-to-day information exchange to the other emerging data intensive technologies like the Augmented and Virtual Reality. 5G is estimated to play a key role in the development of smart cities and IOT use cases. Sentiment analysis of data on user experiences and opinion is performed to improve the product or the service quality and meet the user requirements. Also it can help to identify whether users are interested in their product or not. This can improve the market performance of a product. This work intends to perform sentiment analysis on the twitter tweets to understand the willingness of people to adapt to 5G. The data hence obtained is modelled using various Machine Learning algorithms the outcome of which can be used for the technological advancement.
Cite this Research Publication : K. P. Mithillesh and M. Supriya, "Multi Class Sentiment Analysis of 5G Tweets," 2022 3rd International Conference for Emerging Technology (INCET), 2022, pp. 1-5, doi: 10.1109/INCET54531.2022.9825160.