Property:Has description
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J
Quote from the [http://www.juxtasoftware.org/about/ About Page] (11/2014): <span style="background-color:#eeeeee" class="citation">“Juxta is an open-source tool for comparing and collating multiple witnesses to a single textual work. Originally designed to aid scholars and editors examine the history of a text from manuscript to print versions, Juxta offers a number of possibilities for humanities computing and textual scholarship. [...] As a standalone desktop application, Juxta allows users to complete many of the necessary operations of textual criticism on digital texts (TXT and XML). With this software, you can add or remove witnesses to a comparison set, switch the base text at will. Once you’ve collated a comparison, Juxta also offers several kinds of analytic visualizations. By default, it displays a heat map of all textual variants and allows the user to locate — at the level of any textual unit — all witness variations from the base text. Users can switch to a side by side collation view, which gives a split frame comparison of a base text with a witness text. A histogram of Juxta collations is particularly useful for long documents; this visualization displays the density of all variation from the base text and serves as a useful finding aid for specific variants.”</span> +
K
KEEL (Knowledge Extraction based on Evolutionary Learning) is an open source (GPLv3) Java software tool which empowers the user to assess the behavior of evolutionary learning and Soft Computing based techniques for different kinds of DM problems: regression, classification, clustering, pattern mining and so on.
See a complete description on [http://sci2s.ugr.es/keel/description.php KEEP website] +
KH Coder is an application for quantitative content analysis, text mining or corpus linguistics. It can handle Japanese, English, French, German, Italian, Portuguese and Spanish language data. By inputting the raw texts the searching and statistical analysis functionalities like KWIC, collocation statistics, co-occurrence networks, self-organizing map, multidimensional scaling, cluster analysis and correspondence analysis can be utilized. +
Quote from the [http://interlinkinc.net/KNOT.html software home page] (11(2014):
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The Knowledge Network Organizing Tool (KNOT) is built around the Pathfinder network generation algorithm. There are also several other components (see below). Pathfinder algorithms take estimates of the proximities between pairs of items as input and define a network representation of the items. The network (a PFNET) consists of the items as nodes and a set of links (which may be either directed or undirected for symmetrical or non-symmetrical proximity estimates) connecting pairs of the nodes. The set of links is determined by patterns of proximities in the data and parameters of Pathfinder algorithms. For details on the method and its applications see R. Schvaneveldt (Editor), Pathfinder Associative Networks: Studies in Knowledge Organization. Norwood, NJ: Ablex, 1990.
The Pathfinder software includes several programs and utilities to facilitate Pathfinder network analyses of proximity data. The system is oriented around producing pictures of the solutions, but representations of networks and other information are also available in the form of text files which can be used with other software. The positions of nodes for displays are computed using an algorithm described by Kamada and Kawai (1989, Information Processing Letters, 31, 7-15).</div> +
KNIME is a user-friendly graphical workbench for the entire analysis process: data access, data transformation, initial investigation, powerful predictive analytics, visualisation and reporting. The open integration platform provides over 1000 modules (nodes).
The open source version [http://www.knime.org/knime claims to implement] a very rich platform: <span style="background-color:#eeeeee" class="citation">“The KNIME Analytics Platform incorporates hundreds of processing nodes for data I/O, preprocessing and cleansing, modeling, analysis and data mining as well as various interactive views, such as scatter plots, parallel coordinates and others. It integrates all of the analysis modules of the well known [[Weka]] data mining environment and additional plugins allow R-scripts to be run, offering access to a vast library of statistical routines.”</span> +
Quote: <span style="background-color:#eeeeee" class="citation">“koRpus is an R package i originally wrote to measure similarities/differences between texts. over time it grew into what it is now, a hopefully versatile tool to analyze text material in various ways, with an emphasis on scientific research, including readability and lexical diversity features.”</span> +
L
LOCO-Analyst is an educational tool aimed at providing teachers with feedback on the relevant aspects of the learning process taking place in a web-based learning environment, and thus helps them improve the content and the structure of their web-based courses.
LOCO-Analyst aims at providing teachers with feedback regarding:
*all kinds of activities their students performed and/or took part in during the learning process,
*the usage and the comprehensibility of the learning content they had prepared and deployed in the LCMS,
*contextualized social interactions among students (i.e., social networking) in the virtual learning environment. +
The Learning Analytics Enriched Rubric (LA e-Rubric) is an advanced grading method used for criteria-based assessment. As a rubric, it consists of a set of criteria. For each criterion, several descriptive levels are provided. A numerical grade is assigned to each of these levels.
An enriched rubric contains some criteria and related grading levels that are associated to data from the analysis of learners’ interaction and learning behavior in a Moodle course, such as number of post messages, times of accessing learning material, assignments grades and so on.
Using learning analytics from log data that concern collaborative interactions, past grading performance and inquiries of course resources, the LA e-Rubric can automatically calculate the score of the various levels per criterion. The total rubric score is calculated as a sum of the scores per each criterion. +
Quote from the [http://www.tal.univ-paris3.fr/lexico/index-gb.htm Home page]: <span style="background-color:#eeeeee" class="citation">“Lexico3 is the 2001 edition of the Lexico software, first published in 1990. Functions present from the first version (segmentation, concordances, breakdown in graphic form, characteristic elements and factorial analyses of repeated forms and segments) were maintained and for the most part significantly improved. The Lexico series is unique in that it allows the user to maintain control over the entire lexicometric process from initial segmentation to the publication of final results. Beyond identification of graphic forms, the software allows for study of the identification of more complex units composed of form sequences: repeated segments, pairs of forms in co-occurrences, etc which are less ambiguous than the graphic forms that make them up.”</span>
A free version is available for "personal work", bottom of [http://www.tal.univ-paris3.fr/lexico/download.htm this page] +
Quote from the home page: <span style="background-color:#eeeeee" class="citation">“This web-based tool enables you to "scrub" (clean) your unicode text(s), cut a text(s) into various size chunks, manage chunks and chunk sets, tokenize with character- or word- Ngrams or TF-IDF weighting, and choose from a suite of analysis tools for investigating those texts. Functionality includes building dendrograms, making graphs of rolling averages of word frequencies or ratios of words or letters, and playing with visualizations of word frequencies including word clouds and bubble visualizations. To facilitate subsequent text mining analyses beyond the scope of this site, users can also transpose and download their matricies of word counts or relative proportions as comma- or tab-separated files (.csv, .tsv).”</span> +
<span style="background-color:#eeeeee" class="citation">“The open-source LightSide platform, including the machine-learning and feature-extraction core as well as the researcher's workbench UI, has been and continues to be funded in part through Carnegie Mellon University, in particular by grants from the National Science Foundation and the Office of Naval Research.”</span> ([http://ankara.lti.cs.cmu.edu/side/ LightSide home page], sept. 2014). +
LingPipe is tool kit for processing text using computational linguistics. LingPipe is used to do tasks like:
* Find the names of people, organizations or locations in news
* Automatically classify Twitter search results into categories
* Suggest correct spellings of queries
The free and open source version requires that data processed and linked software must be freely available. There are other versions. +
Log Parser is a flexible command line utility that was initially written by Gabriele Giuseppini, a Microsoft employee, to automate tests for IIS logging. It was intended for use with the Windows operating system, and was included with the IIS 6.0 Resource Kit Tools. The default behavior of logparser works like a "data processing pipeline", by taking an SQL expression on the command line, and outputting the lines containing matches for the SQL expression. (From wikipedia)
Microsoft describes Logparser as a powerful, versatile tool that provides universal query access to text-based data such as log files, XML files and CSV files, as well as key data sources on the Windows operating system such as the Event Log, the Registry, the file system, and Active Directory. The results of the input query can be custom-formatted in text based output, or they can be persisted to more specialty targets like SQL, SYSLOG, or a chart. +
Log Parser studio graphical user interface (GUI) to function as a front-end to [[Log Parser|Log Parser 2.2]] and a ‘Query Library’ in order to manage all queries and scripts that one builds up over time.
Log Parser Studio (LPS) can house all queries in a central location and allows to edit, create and save queries. You can search for queries using free text search as well as export and import both libraries and queries in different formats allowing for easy collaboration as well as storing multiple types of separate libraries for different protocols. +
M
MAXQDA is a mixed methods research tool. There are two versions:
* MAXQDA includes more classical QDA functionality (e.g. the ones that can be found in Atlas or Nvivo) + data management/import tools
* MAXQDAplus contains the quantiative MAXDictio tool.
According to [http://en.wikipedia.org/wiki/MAXQDA Wikipedia] (oct 2013), <span style="background-color:#eeeeee" class="citation">“MAXQDA is a software program designed for computer-assisted qualitative and mixed methods data, text and multimedia analysis in academic, scientific, and business institutions. It is the successor of winMAX, which was first made available in 1989.”</span> +
Maps is a MediaWiki extension that provides the ability to visualize geographic data with dynamic, JavaScript based, mapping API's. It has built-in support for geocoding, displaying maps, displaying markers, adding pop-ups, and more. +
Features:
* text tokenization, including deep semantic features like parse trees
* inverted and forward indexes with compression and various caching strategies
* a collection of ranking functions for searching the indexes
* topic models
* classification algorithms
* graph algorithms
* language models
* CRF implementation (POS-tagging, shallow parsing)
* wrappers for liblinear and libsvm (including libsvm dataset parsers)
* UTF8 support for analysis on various languages
* multithreaded algorithms +
Quote from the home page: <span style="background-color:#eeeeee" class="citation">“Textalytics is a text analysis engine that extracts meaningful elements from any type of content and structures it, so that you can easily process and manage it. Textalytics features a set of high-level web services — adaptable to the characteristics of every type of business — which can be flexibly integrated into your processes and applications.”</span> +
The first version of the software was deployed to serve the needs of the free content Wikipedia encyclopedia in 2002. It has been deployed since then in tens of thousands other websites for all sorts of purposes. +
This extension makes it possible to collect a number of pages. Collections can be edited, persisted and optionally retrieved as PDF, ODF or DocBook (XML) +