Open AccessSentiment Analysis of Roman-Urdu Tweets about Covid-19 Using Machine Learning Approach: A Systematic Literature Review
Publication year - 2021
Publication title -
international journal of advanced trends in computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3091
DOI - 10.30534/ijatcse/2021/881022021
Subject(s) - sentiment analysis , urdu , unavailability , computer science , hindi , social media , covid-19 , process (computing) , artificial intelligence , data science , natural language processing , world wide web , linguistics , medicine , philosophy , disease , pathology , infectious disease (medical specialty) , engineering , reliability engineering , operating system
From the past decade, growth of social media encourages researchers to perform several academic studies on the user generated data. Sentiment Analysis is tool used to generate summary of public opinion about a topic, which helps in effective decision making. Most of the work in sentiment analysis has been performed on English Language Dataset. Many Languages such as Urdu, Hindi, and Italian faced lack of attention due to their complex morphological structure and unavailability of resources. COVID-19 has affected human life around the world. Many researchers have performed their studies using twitter data for knowing the sentiments of people throughout the time of pandemic. In this Paper we are giving a general overview about the process of Sentiment Analysis of Roman-Urdu Tweets. For the dataset query we have used the data generated by user about COVID19.