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Online content analysis or online textual analysis refers to a collection of research techniques used to describe and make inferences about online material through systematic coding and interpretation. Online content analysis is a form of content analysis for analysis of Internet-based communication.
WordStat is a content analysis and text mining software. [1] It was first released in 1998 after being developed by Normand Peladeau from Provalis Research.The latest version 9 was released in 2021.
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. [1]
Voyant Tools is an open-source, web-based application for performing text analysis. It supports scholarly reading and interpretation of texts or corpus, particularly by scholars in the digital humanities, but also by students and the general public. It can be used to analyze online texts or ones uploaded by users. [1]
Media Cloud is an open-source content analysis tool that aims to map news media coverage of current events. It "performs five basic functions -- media definition, crawling, text extraction, word vectoring, and analysis." [1] Media cloud "tracks hundreds of newspapers and thousands of Web sites and blogs, and archives the information in a ...
NVivo is intended to help users organize and analyze non-numerical or unstructured data.Its developers state that it helps qualitative researchers to organize, analyze and find insights in unstructured or qualitative data like interviews, open-ended survey responses, journal articles, social media and web content, where deep levels of analysis on small or large volumes of data are required.
In March 2024- Reddit launched a new data analytics platform, Reddit Pro, designed to empower creators, marketers, and brands with advanced tools for content analysis. This new suite offers deeper insights into Reddit's vast community, helping users track performance, audience engagement, and content trends more effectively.
Computer-assisted (or aided) qualitative 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, [1] grounded theory methodology, etc.
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