The Brede database: a small database for functional neuroimaging

We describe the “Brede ” neuroinformatics database that provides data for novel information retrieval techniques and automated meta-analyses. Data The database is inspired by the hierarchical structure of BrainMap [1] with scientific articles (“bib ” structures

Literature, Geolocation and Wikidata

Littar was the second-prize winning entry in an app competition. It implemented a system for visualizing places mentioned in individual literary works. Wikidata acted as the backend for the system. Here I describe the Littar system and also some of the issues I encountered while developing the system: How locations and literature can be related, what types of location-literature relations are possible within Wikidata, what limitations there are and what questions we may ask once we have enough data in Wikidata

A new ANEW: Evaluation of a word list for sentiment analysis in microblogs

Sentiment analysis of microblogs such as Twitter has recently gained a fair amount of attention. One of the simplest sentiment analysis approaches compares the words of a posting against a labeled word list, where each word has been scored for valence, -- a 'sentiment lexicon' or 'affective word lists'. There exist several affective word lists, e.g., ANEW (Affective Norms for English Words) developed before the advent of microblogging and sentiment analysis. I wanted to examine how well ANEW and other word lists performs for the detection of sentiment strength in microblog posts in comparison with a new word list specifically constructed for microblogs. I used manually labeled postings from Twitter scored for sentiment. Using a simple word matching I show that the new word list may perform better than ANEW, though not as good as the more elaborate approach found in SentiStrength.Comment: 6 pages, 4 figures, 1 table, Submitted to "Making Sense of Microposts (#MSM2011)