Open AccessSENTIMENT ANALYSIS OF CURRENT TRENDING TOPICS ON TWITTER USER BASE
Author(s) -
Zeeshan Rasheed
Publication year - 2021
Publication title -
journal of mechanics of continua and mathematical sciences
Language(s) - English
Resource type - Journals
eISSN - 2454-7190
pISSN - 0973-8975
DOI - 10.26782/jmcms.2021.07.00003
Subject(s) - social media , globe , python (programming language) , sentiment analysis , computer science , politics , world wide web , subject (documents) , data science , set (abstract data type) , base (topology) , advertising , political science , business , psychology , artificial intelligence , mathematics , mathematical analysis , neuroscience , law , programming language , operating system
Twitter has now become the most common social platform to express views on any topic. A micro-blogging social media offers a way for people around the world to show their sentiments about any political, social and cultural subject of the time. In this paper, the sentimental analysis approach has been used to analyze the positive and negative sentiments of Twitter users about some top trending #tags around the globe. The data has been collected between the duration of March to April 2021. The collected data were processed by using the Python program and then transformed our data set with the help of the SQL database. We have used graphs and tables to present the data, collected under three hashtags; which were top trending topics on that particular era. The tweets were elaborated by positive, negative and neutral sentiments which were depicted in graphs. It is clear from the results and comparison that social media has a strong influence in the present era and can be highly helpful to use as a predictor of any political, social situation prevailing in any country or worldwide. It has also been helpful for business communities to analyze their products in the same manner to improve their business growth.