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How to conduct AI-powered content analysis
How to conduct AI-powered content analysis
Written by Andreas Reibring
Updated over a week ago

Qualitative and quantitative content analysis is a time-consuming and tedious process, involving manually reading, organizing, and coding of the text data. There is also a risk of getting inconsistencies in the coding, especially when several researchers are involved.

Dcipher Analytics allows users to quickly and efficiently organize, explore, and code their text data. It utilizes AI technology to structure the qualitative research process, speeding up the analysis and making it more enjoyable. Dcipher Analytics can handle a variety of text data sources, such as survey responses, essays, social media posts, interview transcripts, and reports. The platform helps users cluster similar texts and explore their meanings and narratives, providing a comprehensive overview of the data, including quantitative measures as well as qualitative descriptions.

Typical use cases

  • Conduct content analysis of reports, news articles, or other unstructured text

  • Map narratives and themes in your text data, quantitatively and qualitatively

  • Quickly locate clusters of meaning in text through bottom-up text landscaping

Delivery formats and outputs

An interactive report with a visual content landscape and other charts (see details under Step 2: Access the results via an interactive report below). The results can be exported from the interactive report in csv format.

Exploring and interactive report

How much does it cost?

The cost depends on the volume of data to be processed. The cost is calculated and displayed in the workflow wizard based on your input data.

With our free trial account, you get US$ 50, which is enough for analyzing 25,000 social media posts, 15,000 news articles, or 10,000 pages of PDF reports.

How to run a content analysis through Dcipher Analytics

Step 1: Run a content landscaping workflow

Log into your Dcipher Analytics account, go to “Dcipher Workflows”, and select the Content Landscaping workflow you’re interested in. You can choose between the following content landscaping workflows, depending on your source of interest:

Click “Use this workflow” and follow the instructions in the workflow wizard. The wizard guides you through the process of setting up the workflow. At the end of the Wizard, click “Run workflow” to start the workflow run and wait for the results to generate. You will get notified by email once your delivery is ready.

Step 2: Access the results via an interactive report

Once the workflow is done, click the workflow in the Workflow view and then click the interactive report icon. This will open the interactive report so you can view and interact with the results. The report has three views:

  • Content Landscape: Shows topics (clusters of similar information) and thematic hotspots (clusters of topics) organized based on similarity. Click a topic to get a summary of the associated information and key source references. This view is a great way for getting an overview of the online conversations.

  • Category View: Shows discussion topics organized by available categories (depending on the data source), such as themes and countries. This view is useful for dividing the identified topics into different categories, making them easier to digest.

  • Trend Chart (available for sources containing timestamps): Shows the growth in the topics’ share of voice over different time periods, depending on what the input data supports. This view provides a great way of finding topics that are trending over a given time period.

To publish an interactive report publicly for sharing with others, click the “Copy link” icon in the top-right corner of the screen.

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