[PDF] Top 20 Twitter Based Election Prediction and Analysis
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Twitter Based Election Prediction and Analysis
... data source to predict the outcome of an election. Social media has become the most popular communication tool on the internet. Hundreds of millions of messages are being posted every day in the popular social ... See full document
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Product Sales Prediction Based on Sentiment Analysis Using Twitter Data
... like Twitter, is now serving as electronic word of mouth (eWOM), forming a eWOM branding which is based on social networking and ...trust. Twitter has been swamped with active users during the last ... See full document
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Twitter Sentimental Analysis for Predicting Election Result using LSTM Neural Network
... using twitter streaming API and stored them in CSV file, then pre-processing is done to remove special characters and URLs, followed by data labelling which is done manually using hash-tag labelling and then using ... See full document
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Twitter Homophily: Network Based Prediction of User’s Occupation
... the prediction of a Twitter user’s occupational ...our analysis, we found that by using the graph convolutional network to exploit social ho- mophily, we can achieve competitive perfor- mance on this ... See full document
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Exploiting Topic based Twitter Sentiment for Stock Prediction
... topic based sentiment can improve the pre- diction accuracy beyond existing non-topic based ...topic- based sentiment time series approach was pro- posed for the Twitter ...For ... See full document
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A System for Real time Twitter Sentiment Analysis of 2012 U S Presidential Election Cycle
... To create a baseline sentiment model, we used Amazon Mechanical Turk (AMT) to get as varied a population of annotators as possible. We designed an interface that allowed annotators to perform the annotations outside of ... See full document
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On Using Twitter to Monitor Political Sentiment and Predict Election Results
... eral Election as a case study for investigat- ing the potential to model political senti- ment through mining of social ...sentiment analysis us- ing supervised learning and volume-based ...tional ... See full document
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Deep Ordinal Regression for Pledge Specificity Prediction
... text analysis is a relatively novel application, at the intersection of Political Science and ...ideology prediction tasks (Volkens et ...specificity analysis in manifestos has been based on ... See full document
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Prediction and Analysis of Sentiments on Twitter Data using Hybrid Naive Bayes Approach
... In Literature there exist specific approaches which use amalgamation of further approaches. One shared approach is followed [17]. They start with two word lexicons and unlabeled data. With the two biased word lexicons ... See full document
5
Emotion and polarity prediction from Twitter
... products based on their ...also based on emotion classes, all six features are created for ...truth based on the features selected for ...for analysis and then classification, to build data ... See full document
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Prediction and analysis of Indonesia Presidential election from Twitter using sentiment analysis
... Sentiment analysis is an analysis to identify customer like, dislike, comment, opinion, or feedback about a content that will be categorized into positive, negative or neutral ...using Twitter, ... See full document
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Twitter Sentiment Analysis
... sentiment analysis could be used for politics ...in election and used it for predicting the results in 2009 for German federal ...textual analysis as a base to derive ...this analysis were ... See full document
5
A Big Data Methodology for Sentiment Analysis of Twitter Data
... popularity. Twitter is an online social networking site which allows users to post real time short ...live twitter data and perform sentimental analysis using machine learning techniques and provide ... See full document
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A Simple Scalable Neural Networks based Model for Geolocation Prediction in Twitter
... Our model for message-level prediction is shown in Figure 1. We use the text field of tweet and three metadata fields of user: location, description, and time zone. In the text, the location, and the description ... See full document
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Forecasting 2012 United States Presidential election using Factor Analysis, Logit and Probit Models
... Presidential Election has to be consistent with all the three methods – Regression Model, Logit and Probit Models, achieving a high significance level in terms of p-value of the coefficients of the factors of the ... See full document
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Voter turnout and Twitter : the example of the 2012 Dutch national election
... left Twitter in ...of Twitter instead by ...older Twitter occurred in the Netherlands as an increase of Twitter users who are 80 years old and older have joined this social media platform ... See full document
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SENTIMENT ANALYSIS OF TWEETS USING SUPPORT VECTOR MACHINE
... Sentiment analysis can be done either using supervised learning techniques or unsupervised learning techniques [3]. The Supervised learning also known as machine learning approach use the data set that is divided ... See full document
9
Activity-based Twitter sampling for content-based and user-centric prediction models
... of Twitter users are needed in order to retrieve historical ...users based on their popularity [13]. The drawback behind the network-based sampling is that, a set of users are sampled from a static ... See full document
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Influential spreaders in the political Twitter sphere of the 2013 Malaysian general election
... non-politician Twitter accounts appear in the core ...a Twitter account of an independent user whose novel voice gives rise to extensive ...General Election of Malaysia, a sphere that permits ... See full document
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Substantiating a political public sphere in the Scottish press : a comparative analysis
... Scottish election of modern times and the first ever open to the popular vote (Devine, ...this election may be useful to our present purposes, such that we have for analysis a relatively embryonic ... See full document
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