This project entails a web-based interactive set of visualisations generated from advanced sentiment analysis over the US presidential elections 2016 from live social media (Twitter) data
Opinion polls have been the bridge between public opinion and politicians in elections. However, dev...
The popularity and accessibility of social media applications, such as Twitter, has increased over t...
Part 4: Social Media and Web 3.0 for SmartnessInternational audienceElections are the most critical ...
Sentiment analysis, also known as opinion mining, is an application of natural language processing (...
Our study is targeted towards the analysis of public sentiment of two presidential candidates for US...
Under the leadership of Dr. Hayden Wimmer and Dr. Jeffrey Kaleta, this undergraduate senior Informat...
Social media is used to analyze political campaigns, stock market, movies, medicines, agriculture et...
Part 4: Social Media and Web 3.0 for SmartnessInternational audienceThe aim of this paper is to make...
The correlation between Twitter sentiments and polling results for the 2016 presidential race / Dev...
In the era of information, the ability to extract insightful and meaningful information from the oce...
U.S. President Joe Biden took his oath after being victorious in the controversial U.S. elections of...
The user base for social media platforms have seen sharp increases in nearly every year since their ...
In the age of social media, everyone has the ability to post their thoughts and feelings about sever...
CodeThis figshare repository hosts a collection of tools and scripts for Twitter data analysis, focu...
In this thesis, the author examines the last 131 days of the 2016 election cycle. This analysis focu...
Opinion polls have been the bridge between public opinion and politicians in elections. However, dev...
The popularity and accessibility of social media applications, such as Twitter, has increased over t...
Part 4: Social Media and Web 3.0 for SmartnessInternational audienceElections are the most critical ...
Sentiment analysis, also known as opinion mining, is an application of natural language processing (...
Our study is targeted towards the analysis of public sentiment of two presidential candidates for US...
Under the leadership of Dr. Hayden Wimmer and Dr. Jeffrey Kaleta, this undergraduate senior Informat...
Social media is used to analyze political campaigns, stock market, movies, medicines, agriculture et...
Part 4: Social Media and Web 3.0 for SmartnessInternational audienceThe aim of this paper is to make...
The correlation between Twitter sentiments and polling results for the 2016 presidential race / Dev...
In the era of information, the ability to extract insightful and meaningful information from the oce...
U.S. President Joe Biden took his oath after being victorious in the controversial U.S. elections of...
The user base for social media platforms have seen sharp increases in nearly every year since their ...
In the age of social media, everyone has the ability to post their thoughts and feelings about sever...
CodeThis figshare repository hosts a collection of tools and scripts for Twitter data analysis, focu...
In this thesis, the author examines the last 131 days of the 2016 election cycle. This analysis focu...
Opinion polls have been the bridge between public opinion and politicians in elections. However, dev...
The popularity and accessibility of social media applications, such as Twitter, has increased over t...
Part 4: Social Media and Web 3.0 for SmartnessInternational audienceElections are the most critical ...
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