International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 06 | June 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 692 Social Network Analysis Using Twitter Data Rishabh Mishra 1 , Pradyumn Katre 2 , Ritesh Srivastava 3 1, 2, 3 Department of Computer Science & Engineering Galgotias College of Engineering and Technology Greater Noida, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Social media is a well-known platform for user to create, share and check the new information which is being updated on a daily basis. The world has become a global village because of the utilization of the internet and social media like Facebook, Twitter and various other social media sites. These platforms have become a wide source of growth and spreading of daily opinions related to feelings, thoughts, and moods, and also what is going on in today's world. Sentiment-Analysis is a combination of two words Sentiment and Analysis. Any opinion of an individual through which the feelings, attitude, and thoughts can be expressed is known as sentiment. The process of recognizing and classifying general public opinions, about any topic expressed in any piece of text, or in social media especially in order to determine whether the writer’s attitude towards a particular topic, product, is negative, positive or neutral is known as analysis. Twitter, being the most popular micro- blogging social site is used to collect data to perform analysis. As Twitter’s special and unique infrastructure and almost, total availability of its data, ensured its high popularity among researchers. Twitter is the most popular platform, when it comes to social media research both in academics and in industry; no other social media website has attracted as much attention from academics or industry. Twitter has an open infrastructure which allows any user to follow another user, and it provides almost 100% of its data through its API (Application Program Interface). This survey paper briefs about studies and approaches which are being used in on-going project of developing fact extraction technology on social media analysis of tweeter data. This survey paper brief about recent studies or approaches which have been used in social media analysis using the twitter data. Key Words: — sentiment analysis, machine learning, twitter, tweets, analysis abstraction. 1.INTRODUCTION Social media is a topic which is very much relevant in today's time, and they called social media has touched upon almost every aspect of life whether it is personal or professional or whether it is political, so for that matter you are connecting with your friends on Facebook, Twitter etc. or if you are going shopping on amazon or other shopping sites or if you are writing an article on a political issue you are all the time connected with social media, and we are getting to know views or information from all these mediums [7]. Now before we get into the details of social media, we need to understand that what exactly is social media. Media are instrument of commission but when we say social media it becomes a social instrument of commission [10]. These media have evolved from a broadcast model to a network model. When we say broadcast model there is one person or a group of people who are creating a message, who is decelerating yokes to the rest of the people which means it is from one to many kinds of model, but today we have moved from many to many kinds of models which means from broadcast to network model. Network model is a model where many people are creating several messages all around the world and giving, sharing and lighting it on social media. We need to keep in mind that as media professionals or as communicators whether they are in the field of management by the themes of media or for that matter in the field of education. We need to effectively use the sports in a very good manner and whether we like it or not. This social media is going to grow as people are not willing to learn, as people are willing to share, as people are willing to comment. This social media is going to grow and it is going to grow multiple. Twitter, one of the most popular social media websites went live on 21st March, 2006 [2]. It is a microblogging website and its micro blogs are commonly known as tweets. First tweet that was tweeted on twitter was "just setting up my twitter.” Which was tweeted by its founder Jack Dorsey [3]. Originally tweets were restricted to 140 characters but it’s word limit was increased to 280 except for Chinese, Japanese and Korean [4]. In September 2019, Twitter was ranked the 32nd most visited websites in the world by Alexa's web traffic analysis [5]. A user can send its tweet to his or her followers and his followers can in turn like or retweet the tweet. All the major celebrities and famous personalities around the world have their presence on Twitter and they interact with their fans on Twitter [11]. Twitter is a major trend setter in the world as what trends on Twitter trends in the world. People can follow up or give their opinion about the topic using the hashtags (#) followed by the topic [1]. During the 2016 U.S. presidential election, Twitter was the largest source of breaking news on the day, with 40 million election-related tweets sent by 10:00 p.m. (Eastern Time) that day [6]. The most interesting and popular analysis based over the past years is the Sentiment analysis [8], [14], [16], [18]. The opinions that are held by any number of individuals are reviewed and analyzed using sentiment analysis [12], [19], [21], [38]. These reviews can be related to an event, brand, person or product. Earlier, magazines, newspapers and other