Learn AI-aided Content Analysis on DiVoMiner®
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Price: 19.99$
Traditional content analysis method (like manual coding) is a lengthy and time-consuming process for researchers in the “big data” context. This course introduces innovative AI-aided content analysis methodology for analysing digital data, empowered by natural language processing (NLP), aiming to help researchers to do social science research faster and more efficiently. The course includes 6 modules:(1) Introduction of content analysis and the operating procedures.(2) The data management: how to upload research data on the platform; how to customize database based on the research purpose; and how to sample data.(3) Data exploration: an initial step to quickly analyse and overview the data. How to present the overall trend of the data in the form of a time series chart, the major themes of the content in the form of a word cloud diagram, and keywords statistics.(4) Theme identification and codebook development: some tips to form coding categories from a large text corpus in an efficient, fast, and comprehensible manner.(5) Machine and manual coding: a data-driven “AI-assisted content analysis” approach is proposed to support researchers on their content analysis in an efficient and effective way, aiming to save 80% of their time on repetitive work like coding.(6) Statistical analysis and data visualization: present analysis results with a variety of visualization tools, such as word cloud, radar charts, scatter graph, heat map and Sankey diagram.
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One of the things I like about reading websites such as this, is that there isn’t any spelling or even lexical errors! Causes it to be tough about the reader occasionally. Very good work upon that and also the topic of this website. Many thanks!