policymaking20

Double Document Shared Word Diagrams compare and contrast two documents by showing both the unique and shared vocabulary and its' distribution across the two documents of interest. The two columns of squares represent the two documents. The leftmost column of word circles shows the highest frequency non-trivial words found in document 1 but not document 2. The rightmost column of word circles shows those words unique to 2 and the central column shows the words that are common to both.

Welcome to Opinion Space, a new approach to generating and exchanging insightful ideas about issues and policies. Click the glowing point to begin...

Discover what people are really saying on Twitter. With Twitrratr you can distinguish negative from positive tweets surrounding a brand, product, person or topic.

SentiStrength estimates the strength of positive and negative sentiment in short texts, even for informal language. It has human-level accuracy for short social web texts in English, except political texts. SentiStrength reports two sentiment strengths: -1 (not negative) to -5 (extremely negative) 1 (not positive) to 5 (extremely positive) It can also report binary (positive/negative), trinary (positive/negative/neutral) and single scale (-4 to +4) results. SentiStrength was originally developed for English and optimised for general short social web texts but can be easily configured for other languages and contexts by changing its input files - some variants are demonstrated below.

The CyberEmotions consortium began in February 2009 for a period of four years. The project focuses on the role of collective emotions in creating, forming and breaking-up e-communities.

In today's hyper-connected world, social media and online customer interactions are changing the way companies do business from the outside in. Leading brands recognize that their customers are both passionate and vocal about their products and services, and they are sharing their experiences in conversations every day. Until recently, however, social monitoring tools allowed you to listen to these conversations, but lacked the sophisticated analytics capabilities needed to derive critical business insights. Attensity enables you to go beyond mere social media monitoring to: LISTEN to social customer conversations from over 75 million online sources, including the full Twitter Firehose, Facebook, blogs, communities, forums and other sources. ANALYZE those conversations for key business insights, going beyond basic sentiment to get detailed reports on customer feedback about new products, campaigns, brands, service and support, and other business drivers. RELATE that intelligence to structured data within your existing customer systems such as CRM, ERP, BI, EFM and other systems. ACT with a Playbook that allows you to take charge of emerging issues and manage the customer experience based on your own organizational structure and business processes.

Founded in 2006, Radian6 was created with the idea that companies need to actively engage in Social Media Monitoring. Intelligence about online conversations is critical: companies need to know what's being said about their brand, industry, and competitors online. So we built a listening platform designed to help companies do just that. But listening is just the beginning. Businesses need to measure, analyze, and report on their social media efforts. They need to discover insights from their information. They need to engage. And they need the best tools to reach these targets. Radian6 provides the ability to do it all, and to incorporate all the areas that social media touches across the enterprise, including customer service, sales and lead generation, public relations, marketing, and more. Learn more about how we can help here.

this focusses on social media analytics

Our platform empowers you to: Go far beyond simple keyword counting. Benefit from the only patent-pending social media monitoring and analysis technology. Dig deeper than measuring positive versus negative. Tap into billions of current and past online conversations. Gain actionable insights into the market's opinion of your brand and your products. Leverage a customizable, private dashboard. Know how and why your messaging is resonating (or not resonating) with your audience. Know what opinion leaders think about specific product features. Know what your customers like (and dislike) about the competition. Gain the insights necessary to make critical business decisions.

Clarabridge provides individual departments, Global 1000 enterprises and technology and service providers with an universal view of their customers through transforming of text-based verbatim into customer experience insight. Clarabridge collects all sources of customer feedback, transforms it using Natural Language Processing (NLP), categorizes the content, performs sentiment scoring and delivers customer insights enterprise-wide though a variety of interfaces.

core technology consists of: real-time content aggregation a four-step spam filtering process an accurate sentiment engine robust geo-demographic information sophisticated text analytics and language processing algorithms

Six Rules That Should Govern Your Big Data Existence. Here are some rules from my experience in the small data world that I've come to believe also apply to the big data world, perhaps even more so. As you go about your big data journey you'll meet with even more immense success if you consider these valuable life lessons:

Eli Pariser explores how ideas move in the networked economy. As the board president of MoveOn.org, he pioneered many practices of online organizing. Now, Pariser is focused on the social and political impact of the personalized web, examining the role that filters - both cognitive and software-based - have in shaping what information spreads, which he refers to as the Filter Bubble .