Related Research Articles
Analysis is the process of breaking a complex topic or substance into smaller parts in order to gain a better understanding of it. The technique has been applied in the study of mathematics and logic since before Aristotle, though analysis as a formal concept is a relatively recent development.
Computational linguistics is an interdisciplinary field concerned with the computational modelling of natural language, as well as the study of appropriate computational approaches to linguistic questions. In general, computational linguistics draws upon linguistics, computer science, artificial intelligence, mathematics, logic, philosophy, cognitive science, cognitive psychology, psycholinguistics, anthropology and neuroscience, among others.
Natural language processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them. The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves.
Text mining, also referred to as text data mining, similar to text analytics, is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." Written resources may include websites, books, emails, reviews, and articles. High-quality information is typically obtained by devising patterns and trends by means such as statistical pattern learning. According to Hotho et al. (2005) we can differ three different perspectives of text mining: information extraction, data mining, and a KDD process. Text mining usually involves the process of structuring the input text, deriving patterns within the structured data, and finally evaluation and interpretation of the output. 'High quality' in text mining usually refers to some combination of relevance, novelty, and interest. Typical text mining tasks include text categorization, text clustering, concept/entity extraction, production of granular taxonomies, sentiment analysis, document summarization, and entity relation modeling.
Content analysis is the study of documents and communication artifacts, which might be texts of various formats, pictures, audio or video. Social scientists use content analysis to examine patterns in communication in a replicable and systematic manner. One of the key advantages of using content analysis to analyse social phenomena is its non-invasive nature, in contrast to simulating social experiences or collecting survey answers.
In the social sciences, coding is an analytical process in which data, in both quantitative form or qualitative form are categorized to facilitate analysis.
RQDA is an R package for computer assisted qualitative data analysis or CAQDAS. It is installable from, and runs within, the R statistical software, but has a separate window running a graphical user interface. RQDA's approach allows for tight integration of the constructivist approach of qualitative research with quantitative data analysis which can increase the rigor, transparency and validity of qualitative research.
Computer-assistedqualitative data analysis software (CAQDAS) offers tools that assist with qualitative research such as transcription analysis, coding and text interpretation, recursive abstraction, content analysis, discourse analysis, grounded theory methodology, etc.
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 being developed and distributed by VERBI Software based in Berlin, Germany.
Aquad is a free computer-assisted qualitative data analysis software (CAQDAS) that supports content analysis of open data in qualitative research in psychology, education, sociology, philosophy, medicine, ethnography, politics, etc. Open data are usually collected through observation, introspection, narratives, discussion groups, interviews, etc.
QDA Miner is a mixed methods and qualitative data analysis software developed by Provalis Research. The program was designed to assist researchers in managing, coding and analyzing qualitative data.
The Heidelberg Institute for Theoretical Studies was established in 2010 by SAP co-founder Klaus Tschira through his foundation, the “Klaus Tschira Stiftung”, as a private, non-profit research institute. HITS conducts basic research involving the processing structuring and analysis of large amounts of data in the natural sciences, mathematics and computer science. The research topics range from molecular biology to astrophysics. Shareholders of HITS are the “HITS-Stiftung”, Heidelberg University and the Karlsruhe Institute of Technology (KIT). HITS cooperates with universities and research institutes, as well as with industrial partners. The prime external funding sources are the Federal Ministry of Education and Research, the German Research Foundation and the European Union.
The following outline is provided as an overview of and topical guide to natural language processing:
Cassandre is a free open source software for computer assisted qualitative data analysis and interpretation in humanities and social sciences. Although it refers, like other CAQDAS-software, to Grounded Theory Method, it also allows to conduct discourse analysis or quantitative content analysis. The software is designed as a server to support collaborative work. Formerly focused on semi-automatic coding, it now provides diaries assisting qualitative analysis.
KH Coder is an open source software for computer assisted qualitative data analysis, particularly quantitative content analysis and text mining. It can be also used for computational linguistics. It supports processing and etymological information of text in several languages, such as Japanese, English, French, German, Italian, Portuguese and Spanish. Specifically, it can contribute factual examination co-event system hub structure, computerized arranging guide, multidimensional scaling and comparative calculations.
Quirkos is a CAQDAS software package for the qualitative analysis of text data, commonly used in social science. It provides a graphical interface in which the nodes or themes of analysis are represented by bubbles. It is designed primarily for new and non-academic users of qualitative data, to allow them to quickly learn the basics of qualitative data analysis. Although simpler to use, it lacks some of the features present in other commercial CAQDAS packages such as multimedia support. However, it has been proposed as a useful tool for lay and participant led analysis and is comparatively affordable. It is developed by Edinburgh, UK based Quirkos Software, and was first released in October 2014.
References
- ↑ "qdap: Bridging the Gap Between Qualitative Data and Quantitative Analysis". The Comprehensive R Archive Network. Retrieved 27 April 2021.
- ↑ "KH Coder website" . Retrieved 18 February 2017.
