A detailed case study of commuting and social networks in San Jose, which suggests that sentiment analysis has the potential to help cities and local transportation authorities define their priorities, planning, investments and assess the impact of infrastructure investments.
"The Web is about IDEAS+PEOPLE.
Cohere is a visual tool to create, connect and share Ideas.
Back them up with websites. Support or challenge them. Embed them to spread virally.
Discover who - literally - connects with your thinking."
GATE is over 15 years old and is in active use for all types of computational task involving human language. GATE excels at text analysis of all shapes and sizes. From large corporations to small startups, from €multi-million research consortia to undergraduate projects, our user community is the largest and most diverse of any system of this type, and is spread across all but one of the continents1.
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.
TITLE: SocialSYNC
Launched by Syncapse and developed by Crimson Hexagon
REFERENCE PEOPLE/ORGANISATION:
LOCATION:US
IMPLEMENTATION LEVEL:Deployed
DESCRIPTION:SocialSYNC provides a powerful framework that pulls brands' unstructured social marketing data and content from third-party platforms and social media sites, and stores it in one managed, hosted and secure datacenter. This addition to the Syncapse Platform is designed to eliminate the data fragmentation that currently exists for brands as they ingest massive amounts of big data and content driven by disparate social applications. SocialSYNC allows global brands to compare campaign results from multiple channels side-by-side, and more accurately and effectively build a social data strategy linked to internal and external IT systems.
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.
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.
Discover what people are really saying on Twitter. With Twitrratr you can distinguish negative from positive tweets surrounding a brand, product, person or topic.
Build authority on any topic, discover expertise
PeopleShare what you know, contribute to people's perspective
WorldCheck the credibility of the information you are reading
MoneyFree information access. Period
smartvote is a so-called online voting advice application (VAA). Based on a comprehensive questionnaire on political issues it compares the political positions of voters with those of political parties and candidates. Voters receive a voting advise in form of a position-matching.
smartvote exists since 2003. Developper and operater is the non profit organization Politools. During the electoral campaign of the 2011 national elections smartvote was used more than 1.2 million times.
The White House Recently asked citizens to post suggestions on how to improve regulations.gov, data.gov, and the Federal web strategy. This is part two of a multi-part series on how to and more importantly, why we should consider changing the way these, (potentially) game-changing efforts could be improved. Here, we present some comments for regulations.gov and some suggestions on how changes could help improve the federal rulemaking process.
