Abstract
Tweet data can be processed as a useful information. Social media sites like Twitter, Facebook, Google+ are rapidly growing popularity. These social media sites provide a platform for people to share and express their views about daily routine life, have to discuss on particular topics, have discussion with different communities, or connect with globe by posting messages. Tweets posted on twitter are expressed as opinions. These opinions can be used for different purposes such as to take public views on uncertain decisions such as Muslim ban in America, War in Syria, American Soldiers in Afghanistan etc. These decisions have direct impact on user’s life such as violations & aggressiveness are common causes. For this purpose, we will collect opinions on some popular decision taken in past decade from twitter. We will divide the sentiments into two classes that is anger (hatred) and positive. We will propose a hypothesis model for such data which will be used in future. We will use Support Vector Machine (SVM), Naive Bayes (NB), and Logistic Regression (LR) classifier for text classification task. Further-more, we will also compare SVM results with NB, LR. Research will help us to predict early behaviors & reactions of people before the big consequences of such decisions.
Highlights
Internet is providing all the services a normal user looking for
There are a number of classifiers that exist to classify data, and below in Table I we will discuss the classifiers which we have explored in this work
Three classifiers Support Vector Machine, Naive Bayes and Logistic Regression are used in our experiment and to measure the e effectiveness of each classifier we have used three measurements i.e. recall, precision, and f-measure by applying standard 10-folded cross-validation
Summary
Internet is providing all the services a normal user looking for. Starting from the health, education, government and business, all categories of modern life have been covered in the shape of internet. Internet provides connectivity [1,2] between people and information publicly shared globally. Social media such as Facebook, Twitter, YouTube are platform to remain updated with current news and a airs. Through social media people [3,4,5] can share news, share their opinions and participate in activities being held online. These social sites are not just using for personal use, but it become a fastest tool to reach the people It provides an opportunity for businesses by giving a platform to connect with their customers for advertising. The online contents are mainly consider as opinions, sentiments, attitudes, and emotions [10]
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