Collaborative visual analysis of sentiment in twitter events

M Brooks, JJ Robinson, MK Torkildson, S Hong… - … , and Engineering: 11th …, 2014 - Springer
Researchers across many fields are increasingly using data from social media sites to
address questions about individual and group social behaviors. However, the size and …

Characterizing debate performance via aggregated twitter sentiment

NA Diakopoulos, DA Shamma - … of the SIGCHI conference on human …, 2010 - dl.acm.org
Television broadcasters are beginning to combine social micro-blogging systems such as
Twitter with television to create social video experiences around events. We looked at one …

Socialhelix: visual analysis of sentiment divergence in social media

N Cao, L Lu, YR Lin, F Wang, Z Wen - Journal of visualization, 2015 - Springer
Social media allow people to express and promote different opinions, on which people's
sentiments to a subject often diverge when their opinions conflict. An intuitive visualization …

Lariat: A visual analytics tool for social media researchers to explore Twitter datasets

NC Chen, M Brooks, R Kocielnik, SR Hong… - 2017 - scholarspace.manoa.hawaii.edu
Online social data is potentially a rich source of insight into human behavior, but the sheer
size of these datasets requires specialized tools to facilitate social media research. Visual …

Vartta: a visual analytics system for making sense of real-time twitter data

A Haghighati, K Sedig - Data, 2020 - mdpi.com
Through social media platforms, massive amounts of data are being produced. As a
microblogging social media platform, Twitter enables its users to post short updates as …

Social media visual analytics for events

N Diakopoulos, M Naaman, T Yazdani… - Social Media Modeling …, 2011 - Springer
For large-scale multimedia events such as televised debates and speeches, the amount of
content on social media channels such as Facebook or Twitter can easily become …

Understanding twitter data with tweetxplorer

F Morstatter, S Kumar, H Liu… - Proceedings of the 19th …, 2013 - dl.acm.org
In the era of big data it is increasingly difficult for an analyst to extract meaningful knowledge
from a sea of information. We present TweetXplorer, a system for analysts with little …

EmotionWatch: Visualizing fine-grained emotions in event-related tweets

R Kempter, V Sintsova, C Musat, P Pu - Proceedings of the international …, 2014 - ojs.aaai.org
Spectators are increasingly using social platforms to express their opinions and share their
emotions during big public events. Those reactions reveal the subjective perception of the …

Visual Twitter Analytics (Vista) Temporally changing sentiment and the discovery of emergent themes within sport event tweets

O Hoeber, L Hoeber, M El Meseery, K Odoh… - Online Information …, 2016 - emerald.com
Purpose–Due to the size and velocity at which user generated content is created on social
media services such as Twitter, analysts are often limited by the need to pre-determine the …

Using social media sentiment analysis for interaction design choices: An exploratory framework

M McGuire, C Kampf - Proceedings of the 33rd Annual International …, 2015 - dl.acm.org
Social media analytics is an emerging skill for organizations. Currently, developers are
exploring ways to create tools for simplifying social media analysis. These tools tend to focus …