“The October 30, 2012 Sentiment Analysis Symposium in San Francisco will be the 5th instance of a premier business-focused conference, the only conference that will teach you about technology and solutions that help you discover business value in opinions, emotions, and attitudes in social media, news, and enterprise feedback. Should you attend the symposium? Yes, if you want to lead the competition – in customer satisfaction and support, brand and reputation management, financial services, product design and marketing, and an array of other business processes – if you understand the advantage you will gain in understanding customer, market, employee, investor, and political sentiment, emotion, mood, and opinion.”
Just in time for the 2012 GOP convention, we are running a special offer to provide full Twitter fire hose access via the Gnip-enabled Power Track for Twitter: Never miss a tweet. Full coverage with no rate limits. Powerful search rules, text analytics, clustering and machine-learning via custom machine classifiers.
I am very excited to be undertaking a whole new line of research into political fear. Inspired by my work with Glen Szczypka and the Health Media Collaboratory, I had this proposal accepted for the October 30, 2012 Sentiment Analysis Symposium.
Title: Fear and Loathing on the Social Campaign Trail
Abstract: What are voters afraid of on the eve of the 2012 election? Fear is one of the most freely expressed forms of sentiment in social media. This “Voice of the Voter” presentation looks social data collected in the final week of October and speaks to the nature and salience of fear among the electorate. Bridging political and computational science, Dr. Shulman will present a frightening array of scenarios predicted in the Tweets and Facebook updates as the final phase of the campaign transpires.
Be afraid. Be very politically afraid. Then, please join millions of others already scared out of their wits and express yourself on social media about the approaching election. Results to be posted here October 30th, 2012.
Tag clouds have gained popularity as a short cut to discovery of frequently occurring terms in a text collection. Much of the inspiration comes from the remarkable Wordle site at https://www.wordle.net. Building on that inspiration, we engineered an interactive word cloud tool in DiscoverText that we call the CloudExplorer. This video is a short introduction to how it works.
This is the latest DiscoverText filtering feature designed to speed up the creation of accurate custom machine classifiers. This video shows how we use an interactive display of classifier scores to isolate items in a dataset that require further human coding to improve the accuracy of the classifier. Click on the screenshot below to start the video.