AUTHOR=Dashtipour Kia , Taylor William , Ansari Shuja , Gogate Mandar , Zahid Adnan , Sambo Yusuf , Hussain Amir , Abbasi Qammer H. , Imran Muhammad Ali 
  
TITLE=Public Perception of the Fifth Generation of Cellular Networks (5G) on Social Media
  
JOURNAL=Frontiers in Big Data
  
VOLUME=Volume 4 - 2021
  
YEAR=2021
  
URL=https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2021.640868
  
DOI=10.3389/fdata.2021.640868
  
ISSN=2624-909X
  
ABSTRACT=With advancement of social media network, there are lots of unlabelled reviews available online, therefore its necessarily to develop an automatic tools to classify these types of reviews. For utilising these reviews for user perception, there is a need for automated tools that can process online user data for optimising user perception. In this paper, a novel sentiment analysis framework has been proposed to identify people's perception towards mobile networks. The proposed framework consists of three basic steps: preprocessing, feature selection and applying different machine learning algorithms. The performance of the novel framework has taken into account different feature combinations. The simulation results show that the best performance is by integrating unigram, bigram and trigram features.