Visualizing Tweet Sentiment
During this talk I will discuss a new project that focuses on ways to visualize text, specifically short text snippets like those found in tweets, SMS text messages, or Facebook wall posts. Our visualizations present text collections using a combination of numerous approaches: sentiment analysis, topic clusters, tag clouds, affinity graphs, volume timelines, and sentiment heatmaps. A second aspect of this project involves web-based visualization. We are implementing our visualization tools in Javascript, HTML, and CSS, allowing us to distribute our visualizations through any modern web browser, without the need for plug-ins. This also offers an opportunity to assess the strengths and limitations of current web-based visualization and user interface libraries.