The Qualitative Data Analysis Program (QDAP): Accurate and reliable coding (or labeling) using humans and machines is central to both the qualitative research and the #bigdata text analytics process. For new and experienced researchers, learning advanced project management skills adds hours of struggle. Since 2005, Qualitative Data Analysis Program (QDAP) coders and project managers have delivered large-scale, high value-added, reliable and accurate annotated text data in a timely and expert manner. The QDAP approach to qualitative research grows out of more than a decade of working on projects funded by the National Science Foundation, the National Institutes of Health, DARPA, the Smithsonian and others. Our combination of software, methods, experience, and novel forms of text analytics measurement present a uniquely scientific research support offering with applications across the disciplines.
Award-Winning, Free, Web-based, Open Source Software:The Coding Analysis Toolkit (CAT), winner of the 2008 'Best Research Software' award from the Information Technology & Politics section of the American Political Science Association, is now available as open source software. Download the CAT Quick Start Guide or the latest source code.

(c) receive and use any free supplementary Software code or update of the Software incorporating 'patches' and corrections of errors as may be provided by the Licensor from time to time; and (d) use any Documentation in support of the use permitted under condition 2.1 and make such copies of the Documentation as are reasonably necessary for its lawful use.

Text Analytics: An @Scoop.it! site curated by QDAP Director Stu Shulman.

In the News: 'Chasing the Social Media Data Trail,' 'The Trouble with Measuring Tweets per Minute,' & 'Company Finds Useful Needles in Haystacks'.

Rigor and Flexibility in Research: An overview of the QDAP/CAT approach.

Have you triedDiscoverText?
Featuring the Facebook Graph, Google+ and Twitter APIs
Archive, filter, search, human code and machine classify the social web

AQUAD 7 is open-source freeware (according to the conditions of GNU GPL v.3). A full feature list of AQUAD 7 can be found on the informationen and features page. The recent version 7.3 allows to analyze all kinds of qualitative data: within the framework of the code-paradigm, along Boolean minimization to identify types and by means of textual sequence-analysis to reconstruct case structures based on strict hypothesis testing (following the approach of objective hermeneutics). An interface with the statistical software “R” (open source) allows to combine qualitative and quantitative analyses; the scripts were modified and more scripts were added to version 7.3. AQUAD supports the following data types:

• texts of any kind (e.g. transcripts of social interactions, letters, documents, …)
• audio-data (e.g. interview recordings)
• video-data (e.g. observations)
• pictures (e.g. photos, drawings)

The Coding Analysis Toolkit (or “CAT”) consists of a ASP.NET based suite of tools to facilitate efficient and effective analysis of text datasets that have been coded using the CAT coding module or ATLAS.ti. It’s functionality includes:

• Efficiently code raw text data sets
• Annotate coding with shared memos
• Manage team coding permissions via the Web
• Create unlimited collaborator sub-accounts
• Assign multiple coders to specific tasks
• Easily measure inter-rater reliability
• Adjudicate valid & invalid coder decisions
• Report validity by dataset, code or coder
• Export coding in RTF, CSV or XML format
• Archive or share completed projects
• Data can be Plain text, HTML, CAT XML, Merged ATLAS.ti coding

Cassandre is a free open source text analysis software tool. It uses semi-automatic coding, based on the identification of markers, grouped into registers, which represent analysis categories.

CATMA is a practical and intuitive tool for literary scholars, students and other parties with an interest in text analysis and literary research. Being implemented as a web application in the newest version, CATMA also facilitates the exchange of analytical results via the internet. Features include:

• Freely producible Tagsets, suitable to apply analytical categories of individual choice to the text
• The possibility of advanced search in the text, using the natural language based Query Builder
• A set of predefined statistical and non-statistical analytical functions
• The visualization of the distribution of items of interest (e.g. words, word-groups or Tags) in the text
• The possibility to analyze whole corpora of texts in one work step
• Easy switching between the different modules
• The easy exchange of documents, Tagsets and Markup information, facilitating cooperative textual analysis
• A context sensitive help function and a user manual for better usability

FreeQDA is a software for professional qualitative research data analysis, such as interviews, manuscripts, journal articles, memos and field notes. FreeQDA requires Java >= 1.6

QCAmap is an open access web application for systematic text analysis in scientific projects based on the techniques of qualitative content analysis. It can be used within research projects in e.g. Psychology, Sociology, Education, Economics, Linguistic Sciences, to analyze small and large amounts of any text material coming from interviews, group discussions, observation protocols, documents, open-ended questionnaire items and others. Qualitative Content Analysis is a strictly rule-guided procedure containing qualitative steps (assignment of categories to text passages) and quantitative steps (analysis of category frequencies).

QDA Miner Lite is a free and easy-to-use version of the Provalis QDA Miner. It can be used for the analysis of textual data such as interview and news transcripts, open-ended responses, etc. as well as for the analysis of still images. It offers basic CAQDAS features such as:

• Importation of documents from plain text, RTF, HTML, PDF as well as data stored in Excel, MS Access, CSV, tab delimited text files,
• Importation from other qualitative coding software such as Altas.ti, HyperResearch, Etnograph, from transcription tools like Transana and Transcriber as well as from Reference Information System (.RIS) files.
• Intuitive coding using codes organized in a tree structure.
• Ability to add comments (or memos) to coded segments, cases or the whole project.
• Fast Boolean text search tool for retrieving and coding text segments.
• Code frequency analysis with bar chart, pie chart and tag clouds.
• Coding retrieval with Boolean (and, or , not) and proximity operators (includes, enclosed, near, before, after). Export tables to XLS, Tab Delimited, CSV formats, and Word format Export graphs to BMP, PNG, JPEG, WMF formats.
• Single-file (*.qdp) project format.
• Interface and help file in English, French and Spanish.

RDQA is a R package for Qualitative Data Analysis, a free (free as freedom) qualitative analysis software application (BSD license). It works on Windows, Linux/FreeBSD and (probably) the Mac OSX platforms. RQDA is an easy to use tool to assist in the analysis of textual data. At the moment it only supports plain text formatted data. All the information is stored in a SQLite database via the R package of RSQLite.

TAMS stands for Text Analysis Markup System. It is a convention for identifying themes in texts (web pages, interviews, field notes). It was designed for use in ethnographic and discourse research.
TAMS Analyzer is a program that works with TAMS to let you assign ethnographic codes to passages of a text just by selecting the relevant text and double clicking the name of the code on a list. It then allows you to extract, analyze, and save coded information. TAMS Analyzer is open source; it is released under GPL v2. The Macintosh version of the program also includes full support for transcription (back space, insert time code, jump to time code, etc.) when working with data on sound files.

Weft QDA is an easy-to-use, free and open-source tool for the analysis of textual data such as interview transcripts, fieldnotes and other documents. Features include:

• Import plain-text documents from text files or PDF
• Character-level coding using categories organised in a tree structure
• Retrieval of coded text and ‘coding-on’
• Simple coding statistics
• Fast free-text search
• Combine coding and searches using boolean queries AND, OR, AND NOT
• ‘Code Review’ to evaluate coding patterns across multiple documents
• Export to HTML and CSV formats