25 Awesome Beta Research Tools from Libraries Around the World
If you're tired of using the same old search box on your local library website for research projects, it might be time to broaden your horizons. Try out one of these in-the-works betas sponsored by world-class libraries around the world. From academic libraries like that at MIT or renowned research centers like the Library of Congress, the following beta research tools feature innovative tricks to connect you with the most relevant, valid results on the Internet and in their card catalogs. Melvil Dewey would be proud. Tools Used at College and University Libraries Check out this list for academically-minded beta search tools sponsored by universities around the world. Vera Multi-Search: MIT: This new tool is still in the works, but once it's officially approved, students and researchers can use Vera Multi-Search as a way to find material in several different databases with one single search.
Encyclopedia of Philosophy-Stanford
Self-Improving Bayesian Sentiment Analysis for Twitter
That’s quite the mouthful. Let me start with a huge caveat: I’m not an expert on this, and much of it may be incorrect. I studied Bayesian statistics about fifteen years ago in university, but have no recollection of it (that sounds a bit like Bill Clinton: “I experimented with statistics but didn’t inhale the knowledge”). Even so, given the increasing quantity of real-time content on the Internet, I find the automated analysis of it fascinating, and hope that something in this post might pique your interest. Naive Bayes classifier Bayesian probability, and in particular the Naïve Bayes classifier, is successfully used in many parts of the web, from IMDB ratings to spam filters. The classifier examines the independent features of an item, and compares those against the features (and classification) of previous items to deduce the likely classification of the new item. It is ‘naïve’ because the features are assessed independently. 4 legs65kg weight60cm height DogHumanDog Classifying Sentiment
Consiglio italiano per le Scienze Sociali » Homepage
Think like a statistician – without the math
I call myself a statistician, because, well, I'm a statistics graduate student. However, ask me specific questions about hypothesis tests or required sampling size, and my answer probably won't be very good. The other day I was trying to think of the last time I did an actual hypothesis test or formal analysis. I couldn't remember. I actually had to dig up old course listings to figure out when it was. Instead, the most important things I've learned are less formal, but have proven extremely useful when working/playing with data. Attention to Detail Oftentimes it's the little things that end up being the most important. The point is that trends and patterns are important, but so are outliers, missing data points, and inconsistencies. See the Big Picture With that said, it's important not to get too caught up with individual data points or a tiny section in a really big dataset. No Agendas This should go without saying, but approach data as objectively as possible. Look Outside the Data
AREAS - benvenuti
Social Network Analysis
Social Network Analysis: Introduction and Resources What is Social Network Analysis? Network Data Collection and Representation Network Theories Analysis of Network Data Software Applications Books and Journals Article References Selected Online SNA Portals Ulrike Gretzel November, 2001 What is Social Network Analysis? Social network analysis is based on an assumption of the importance of relationships among interacting units. Actors and their actions are viewed as interdependent rather than independent, autonomous units Relational ties (linkages) between actors are channels for transfer or "flow" of resources (either material or nonmaterial) Network models focusing on individuals view the network structural environment as providing opportunities for or constraints on individual action Network models conceptualize structure (social, economic, political, and so forth) as lasting patterns of relations among actors Wasserman, S. and K. Scott, J., 1992, Social Network Analysis. Index Network Theories
Eventi | ANUAC
Rwanda 1994-2014 - a venti anni dal genocidio dei rwandesi tutsi Roma, 15 aprile 2014 locandina Arte, cura, memoria: dialoghi con l’Africa Bergamo, varie date ad aprile e maggio 2014 programma Carole M. Sassari, 8-9-10-14 aprile 2014 programma Questioni di antropologia e storia dell’alimentazione Milano, ogni lunedí dal 17 marzo al 19 maggio 2014 programma Le Afriche del dopo sviluppo Roma, varie date nel periodo marzo-maggio 2014 programma Eyes and Lenses XI - Ethnographic Film Review Warsaw (Poland), 25-27 April 2014 web site XXXVI Convegno Internazionale di Americanistica Organizzato dal Centro Studi Americanistici “Circolo Amerindiano” Onlus Perugia, 6-13 maggio 2014 sito web 4th Global Conference: Urban Popcultures Lisbon (Portugal), 10th-12th May 2014 web site Lamberto Loria (1855-1913). Roma, 14-15 maggio 2014 sito web MUSICULT '14. Istanbul (Turkey), 15-17 May 2014 web site 17th Annual MSA Congress - Mediterranean Studies Association Marbella (Spain), May 28-31 2014 preliminary program call for papers
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