Analysis of Imran Khan’s Tweets About Palestine and Kashmir Issues Through Natural Language Processing Technique
Keywords:Sentiment Analysis, , Tweets, polarity, positive face & negative face
In this paper, the purpose is to carry out the sentiment analysis of Imran Khan’s tweets about Palestine and Kashmir Issues, in order to check the negative or positive polarity in his tweets as the Prime Minister of Pakistan. The data consists of all his tweets about Palestine and Kashmir Issues. The number of tweets about Palestine and Kashmir Issues is 139. The data was collected from the official Twitter account of Imran Khan dated from 20th August 2018 to 10th April 2022. The data was collected manually and analyzed quantitatively using software RStudio and then manually analyzed using face theory to reveal the negative or positive face of Imran Khan and subsequently, the findings revealed that all of these tweets contain the more positive sentiments and less negative sentiments and revealed a positive face of Imran Khan as the Prime Minister of Pakistan. The study is useful for the general public by using any platform of social media to extract polarity and identify the positive or negative face from different social media posts of different political or non-political figures.
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