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A
AntConc is a freeware concordance program for Windows, Macintosh OS X, and Linux.
The software includes seven tools:
Concordance Tool: shows search results in a 'KWIC' (KeyWord In Context) format.
Concordance Plot Tool: shows search results plotted as a 'barcode' format. This allows you to see the position where search results appear in target texts.
File View Tool: This tool shows the text of individual files. This allows you to investigate in more detail the results generated in other tools of AntConc.
Clusters/N-Grams: hows clusters based on the search condition. In effect it
summarizes the results generated in the Concordance Tool or Concordance Plot
Tool. The N-Grams Tool, on the other hand, scans the entire corpus for 'N' (e.g. 1
word, 2 words, …) length clusters. This allows you to find common expressions in
a corpus.
Collocates: shows the collocates of a search term. This allows you to investigate non-sequential patterns in language.
Word List: counts all the words in the corpus and presents them in an ordered list. This allows you to quickly find which words are the most frequent in a corpus.
Keyword List: shows the which words are unusually frequent (or infrequent) in the corpus in comparison with the words in a reference corpus. This allows you to identify characteristic words in the corpus, for example, as part of a genre or ESP study. +
The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text.
It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. These tasks are usually required to build more advanced text processing services. OpenNLP also includes maximum entropy and perceptron based machine learning. +
Features
* A rich set of data visualizations
* An easy-to-use interface for exploring and visualizing data
* Create and share dashboards
* Enterprise-ready authentication with integration with major authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER through Flask AppBuilder)
* An extensible, high-granularity security/permission model allowing intricate rules on who can access individual features and the dataset
* A simple semantic layer, allowing users to control how data sources are displayed in the UI by defining which fields should show up in which drop-down and which aggregation and function metrics are made available to the user
* Integration with most SQL-speaking RDBMS through SQLAlchemy
* Deep integration with Druid.io
This project was originally named Panoramix, was renamed to Caravel in March 2016, and is currently named Superset as of November 2016 +
Unstructured Information Management Architecture (UIMA) is a component framework to analyze unstructured content such as text, audio and video. This is originally developed by IBM.
UIMA enables applications to be decomposed into components, for example “language identification” => “language specific segmentation” => “sentence boundary detection” => Each component implements interfaces defined by the framework and provides self describing metadata via XML descriptor files. Also provides capabilities to wrap components as network services, and can scale to very large volumes by replicating processing pipelines over a cluster of networked nodes. +
D
'''DataMelt is a software environment for numeric calculations, statistics and data analysis '''
DataMelt, or DMelt, is an environment for numeric computation, data analysis and data visualization. DMelt is designed for analysis of large data volumes ("big data"), data mining, statistical analyses and math computations. The program can be used in many areas, such as natural sciences, engineering, modeling and analysis of financial markets.
DMelt is a computational platform: It can be used with different programming languages on different operating systems. Unlike other statistical programs, DataMelt is not limited by a single programming language. Data analysis and statistical computations can be done using high-level scripting languages (Python/Jython, Groovy, etc.), as well as a lower-level language, such as JAVA. It incorporates many open-source JAVA packages into a coherent interface using the concept of dynamic scripting.
DMelt creates high-quality vector-graphics images (SVG, EPS, PDF etc.) that can be included in LaTeX and other text-processing systems.
The program runs on Windows, Linux, Mac OS. +
G
Welcome to Gephi! Gephi is an open-source software for visualizing and analysing large networks graphs. Gephi uses a 3D render engine to display graphs in real-time and speed up the exploration. You can use it to explore, analyse, spatialise, filter, cluterize, manipulate and export all types of graphs. +
GISMO is a graphical interactive monitoring tool that provides visualization of students' activities in online courses to instructors. Instructors can examine various aspects of distance students, such as the attendance to courses, reading of materials, submission of assignments. Users of Moodle may benefit from GISMO for their teaching activities. With respect to the standard reports provided by Moodle (which basically allow teachers to see if an individual student has viewed a specific resource or participated on a specific activity on a specific day), GISMO provides comprehensive visualizations that gives an overview of the whole class, not only a specific student or a particular resource.
GISMO is available for Moodle 1.9.x. and Moodle 2.x. +
I
A website where you can visualise data such as numbers, text and geographic information. You can create a range of visualisations including unusual ones such as “treemaps” and “phrase nets”. All the charts made in Many Eyes are interactive, so you can change what data is shown and how it is displayed.
Many Eyes is also an online community where users can create topical groups to organise, share and discuss data visualisations. You can sign up to receive notifications when there are new visualisations or data on topics you are interested in.
Only being able to use Many Eyes if your data and the visualisations can be shared publicly on the Internet. +
A website where you can visualise data such as numbers, text and geographic information. You can create a range of visualisations including unusual ones such as “treemaps” and “phrase nets”. All the charts made in Many Eyes are interactive, so you can change what data is shown and how it is displayed.
Many Eyes is also an online community where users can create topical groups to organise, share and discuss data visualisations. You can sign up to receive notifications when there are new visualisations or data on topics you are interested in.
Only being able to use Many Eyes if your data and the visualisations can be shared publicly on the Internet. +
J
Online tools to assist in the conversion of JSON to CSV. +
K
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: <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 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> +
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. +
M
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> +