Authors - Ritesh Kumar, S. Rajaprakash Abstract - The society we live in today has seen the accumulation of knowledge via social media platforms such as Twitter and Facebook, which are expanding at a tremendous rate on a daily basis. The victims of these social media platforms are users who tweet or post on a variety of issues from any location in the globe via the usage of the internet. Tweets are used to assess both positive and negative mes-sages in order to produce polarity scores and also to have the ability to anticipate future trends. Twitter is a source from which these polarity scores may be collected; nevertheless, the information about polarity scores is kept confidential. The information will be easily compromised, and the fluctuations in the score will result in incalculable consequences, such as affecting the global economic position, the brands of corporations, and therefore the reputations of businesses. The installation of Salsa, which offers faster encryption due to the district round and greater data security, was something that Daniel Bernstein intended to do in order to address these issues. In this work, a fresh approach is provided by changing the Salsa20/4 algorithm in order to further strengthen the security of the polarity scores, which is a vital necessity in the society that we live in today. The proposed method is RRCF has two encryption stages. Stage 1 is comprised of column operations, whereas stage 2 is comprised of four procedures. Finding the greatest common factor of the pain text that has been provided is the initial step in the procedure. Identifying the time period in the pain text is the second step in the procedure. The outcome of the second step is used in the third phase, which is to create a pair of values. The application of the pair values and the swapping of the cell values in the given matrix is the fourth step. In comparison to the Salsa20/4 technique, the suggested methodology has a much higher level of security.
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