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Archidat Bouwkosten-online, bouwnieuws, bouwkosten en bouwdetails. NRC Emotion Lexicon. * The sense-level annotations provided by individual annotators for the eight emotions can be downloaded by clicking here. Access various other word-emotion, word-sentiment, and word-colour lexicons here.) NRC Emotion Lexicon in Other Languages The NRC Emotion Lexicon has affect annotations for English words. Despite some cultural differences, it has been shown that a majority of affective norms are stable across languages. Thus we provide versions of the lexicon in over twenty languages by translating the English terms using Google Translate (July 2015).

Click here to download. See README of the NRC Emotion Lexicon for more details about the lexicon and the terms of use. Note that some translations by Google Translate may be incorrect or they may simply be transliterations of the original English terms. An Interactive Visualizer. What are the most powerful open-source sentiment-analysis tools? – Breakthrough Analysis. I took a stab at a Quora question, What are the most powerful open-source sentiment-analysis tools?. Here’s my response: I know of no open-source (software) tools dedicated to sentiment analysis. Instead, a variety of open-source text-analytics tools — natural-language processing for information extraction and classification — can be applied for sentiment analysis. They include — – Python NLTK (Natural Language Toolkit), but see also – R, TM (text mining) module, including tm.plugin.sentiment. – RapidMiner, – GATE, the General Architecture for Text Engineering, I bet someone’s doing sentiment with the Stanford NLP tools, although my understanding is the maximum-entropy classification isn’t the best approach for sentiment.

Powerful, I can’t say. Like this: GATE.ac.uk - 2mins.html. Take one large pile of text (documents, emails, tweets, patents, papers, transcripts, blogs, comments, acts of parliament, and so on and so forth) -- call this your corpus.Pick a structured description of interesting things in the text (a telephone directory, or chemical taxonomy, or something from the Linked Data cloud) -- call this your ontology.Use GATE Teamware to mark up a gold standard example set of annotations of the corpus (1.) relative to the ontology (2.).Use GATE Developer to build a semantic annotation pipeline to do the annotation job automatically and measure performance against the gold standard.Take the pipeline from 4. and apply it to your text pile using GATE Cloud (or embed it in your own systems using GATE Embedded).Use GATE Mimir to store the annotations relative to the ontology in a multiparadigm index server.

Hey presto, you have state-of-the-art information management applying your ontology to your corpus (and a sustainable process)... Free reference manager and research manager - Qiqqa. The Personal Wiki System. You can download ConnectedText from the links below. It is the complete version of the product. There is no spyware or adware. Current version is 6.0.15 (14.5 mb). See what's new to know version 6.0 new features and read about fixes and changes in Change Log.

Important: if you already uses ConnectedText there is important information you should know before installing version 6.0. To install do the following: Select the appropriate download link and save the installer file to a conveniently accessible place such as your desktop. You will be asked to agree to the terms of an end user license agreement (EULA) during installation. During ConnectedText install under Vista/Windows 7 consider the following: when the elevation prompt appears in the screen do choose to install it under administrator account. If you are looking for the USB version you find it here. Download also the Cheat Sheet with the basic markup commands. Descriptors and Your Qualitative Data Analysis – Part 1: The Lingo Blog | Dedoose.

An intro to those devilish descriptors: It seems that there is often confusion about descriptors – what they are and how to use them in your mixed methods or qualitative data analysis. Descriptors are powerful. They allow you to break out your qualitative work across demographic and other survey data for greater insights. When using descriptors in your qualitative data analysis, in addition to being able to analyze media files, you are able to break out the information that describes the source of your media files to see things from different perspectives and introduce new dimensions to your analysis.

And since Dedoose allows for multiple sets of descriptors, you can add as many levels of analysis as your study needs. Since descriptors are simply too powerful for you to ignore, or worse, use incorrectly, we are going to take this slow and steady. Our descriptor series will have multiple parts beginning with Part 1: The Lingo. So, what are these descriptors anyway…? Example please! Clarence C. Gravlee » Text. This week the Society for Applied Anthropology is holding its annual meeting in Santa Fe, NM. Amber Wutich and I are offering a one-day workshop on Text Analysis: Systematic Methods for Analyzing Qualitative Data.

Here you can view a short overview video and download data we’ll be using in the workshop. Update, 8/15/09: Better late than never, here are the readings we recommended at the workshop back in March. Due to copyright, PDFs are password-protected for workshop participants only. Crabtree, B. F., & Miller, W. L. (1992). Hirschman, E. Kearney, M. MacQueen, K. Nolan, J. Home | CATMA - Computer Aided Textual Markup & Analysis. QDA Miner Lite - Free Qualitative Data Analysis Software. [Coding Analysis Toolkit] Home Page. NGOSS & eTOM | Astimen's Blog of KM Telecom. Using Minto Pyramid Principle as effective shared context in daily strategy focus objective In knowledge era enterprise needs an effective approach to create more knowledge caused of dynamic external business needs, wants and expectation. Knowledge strategy as value relationship between employee, system and customer should be evaluated periodically to keep enterprise’s capacity to deliver product and service dealing with cost, competitive value advantage and time as triple crown objectives.

To grab the market, exploit it and win the business speed of knowledge (who know how) creation is one of early initiative to solve the problem, improve and remove internal process effectively based on customer expectation and strategy focus organization. However this organization’s level of strategy can not be copied from best practice implementation from benchmark competitor as differentiation that difficult to imitated to lower level as team learning and personal mastery of individual level. Stakeholder Definition - What are stakeholders? This is step 1 of a 4 step guide to Stakeholder Management. If you haven't read steps 2 - 4 you can access them here. Step 2 Stakeholder Analysis, Step 3 Stakeholder Planning, and Step 4 Stakeholder Engagement. What is a stakeholder? A stakeholder is anybody who can affect or is affected by an organisation, strategy or project. 'People or small groups with the power to respond to, negotiate with, and change the strategic future of the organization' (Eden and Ackermann 1998: 117).

As Bryson states this is a somewhat restrictive definition because it excludes those who are affected, but who don't any power to respond to or negotiate with an organisation. A broader definition also aligns with Edward Freeman's view. 'any group or individual who can affect or is affected by the achievement of the organization's objectives' (1984: 46). I agree that a wider definition is preferable, but not just for ethical reasons. How to identify your stakeholders Stakeholder definition - Tools and techniques.

Encyclopedia of Death and Dying. Index. FPO IP Research & Communities. The Good Country Index. Simon Anholt - Research - Nation Brands Index.

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Electronic Notebooks. Scientific productivity - Software/App for electronic research notebooks - Academia Stack Exchange. I use Org-mode to organize and track my research. It is an Emacs major mode that seems to hit most of your requirements. The .org files are plain text which should guard against bloat and lets you access them anywhere, even when you do not have Emacs or Org-mode available. linking to past experiments/pages Org-mode has linking capability to any type of file, as well as to specific locations in a document. latex equations Org-mode has support not only for LaTeX equations but for a number of programming languages via org-babel. Uploading papers, or other URLs. Because it is only a text file, this sort of behavior can be accomplished through the linking mechanism.

Being able to transfer data. I am unsure what you are looking for here. Dating and version control I use Org-mode to track my time spent on various research items. I handle my version control and distribution through Dropbox, but since the files are plain text any version control system you are comfortable with should work fine.