SemanticScholar Reviews

MAXQDA Reviews

1. ColdInWinter

   | Analyst at Trimal Consulting | over 2 years ago
   A data analysis tool for business, government, and academic research projects

   The use of QDA software in social science research is so common that many people tend to see QDA software as a tool primarily for social science research. However, applications like MAXQDA are invaluable productivity tools for research analysts in industry or government as well.

   Remarkably scalable, MAXQDA employs a database architecture that can handle research projects ranging in size from several dozen pages to tens of thousands of pages. Many projects today involve identifying connections found among information stored in PDF, Powerpoint presentations, Word documents, photos, videos, and audio recordings. MAXQDA allows users to code relevant sections of each document, identify interrelationships among documents, build relationships among diverse sets of documents and identify thematic trends.

   MAXQDA features a simple 4 pane interface that makes it easy to use. The Document System- is where you place documents (text, images, video, or sound files) you want to analyse. The Document Browser is where you view the content of the document. The Coding System shows the various codes that you create and assign to documents. The Retrieved Segments Pane shows search results.

   🏁 Competitors: ATLAS.ti, NVivo, QDA Miner, HyperResearch, Quirkos

SemanticScholar mentions (3)

• AI tools for literature review

  Hi everyone, I have been playing with a few new AI tools for literature reviews that you might like: - Seamless https://seaml.es/ - Semantic Scholar https://semanticscholar.org - Epsilon https://epsilon.ai/ I hope you find them useful. Source: 6 months ago

• Is there a SciHub of Databases?

  I rely mostly on Microsoft Academic Search. I find an article I need and then usually Google the exact title followed by filetype:pdf. For example: "Toward creating a fairer ranking in search engine results" filetype:pdf. Other services that are helpful from a discovery standpoint include ResearchGate, Academia.edu, and semanticscholar.org. Source: almost 3 years ago

• [N] Semantic Scholar introduces Semantic Reader, An AI-Powered Augmented Scientific Reading Application

  Hello! Check out our Research Feeds beta on semanticscholar.org, based in part on the arxiv-sanity.com work. From any paper you can select "Research Feed" to start a feed. Source: about 3 years ago

MAXQDA mentions (0)