Election Prediction Using Sentiment Analysis Of Twitter

This data is used to predict outcome of election by using sentiment analysis.

Election prediction using sentiment analysis of twitter. Election result prediction using twitter sentiment analysis abstract. Election result prediction using twitter sentiment analysis article ramteke2016electionrp title election result prediction using twitter sentiment analysis author j. Popular text classification algorithms like naive bayes and svm are.

Along with public policy twitter sentiment analysis has also been used in political contexts ranging from analyzing public resentment towards elected officials to predicting election results 10. Sentiment analysis is considered to be a category of machine learning and natural language processing. In the graphic below you ll see volume of tweets we recorded over a 10 day period leading up to november 4th for.

For this example we ll be using php. Kazem jahanbakhsh yumi moon ajay promodh sridharan tim song and priyanka gupta. Sentiment analysis of tweets.

We used lexicon based approach with machine learning to find emotions in twits and predict sentiment score. Our team at content harmony paired up with wisemine to take a look at how twitter volume and sentiment for 10 of the top 2014 midterm races compared with actual election results. We use twitter data to predict outcome of election by collecting twitter data and analyze it to predict the outcome of the election by analyzing sentiment of twitter data about the candidates.

Shaikh journal 2016 international conference on inventive computation technologies icict year 2016 volume 1. In this post we describe our research work in the last two years in the area of opinion mining for predicting interesting socio economic events such as political elections. Prediction of indian election using sentiment analysis on hindi twitter abstract.

Create a list of tweets as text strings for a given twitter handle twitter has its own api but it s a fairly involved process to set up so i ll take you through a shortcut. Businesses or similar entities need to identify the polarity of these opinions in order to understand user orientation and thereby make smarter decisions. Our goal was to see if twitter sentiment positively correlated with the midterm election results.