CSV file analysis

Overview

If you choose the CSV file path:

  1. Upload your CSV file containing the dataset. Ensure that your file complies with the supported standard. You can upload it by dragging the file to the drop area or click on the BROWSE... button and select a file. Remember that in this version, you'll see results for the first 100 records.

As your file is imported successfully, on the right bottom you will see a notification:

  1. As your file is uploaded, select a column with a unique ID (step 1) and a column with text for analysis (step 2). If you need to review the original file, use the Preview CSV tab above. In Step 3, you can choose any columns from the original file that you wish to include in the results file. Then, click on the Load button.

  1. Next, select a predefined topical model or your own text model (if activated) and click the Analyze button to start.

As the analysis is processing, you will see a progress screen displaying the number of successfully analyzed texts, failed analyses, and timeouts. If you click on the Cancel button during the process, you will see the results for the texts that have been analyzed until that time.

CSV file analysis results

Once the analysis process is finished, you will see three buttons:

  • Raw Data

    It shows how your text is decomposed into its grammatical components and the relationships between different parts of it. It provides a clear and structured view of the raw data, facilitating deeper analysis and insight into the linguistic features of your text.

  • Results

    It shows your data processed and analyzed. You can find text features as an output of the activated model processing. At the top of the window, there are options to export the results in either CSV or JSON format, allowing for further analysis and data usage outside of the Smabbler Portal. It provides the high-level outcomes of your text analysis, showing how each record in your dataset has been processed and classified according to the selected model.

  • Visualizations

    Here you can view your classified data in pie and bar chart formats.

Supported CSV standard

To ensure compatibility and successful analysis, your CSV files must adhere to the following standard:

  • Delimiter: Semicolon (;)

  • Encoding: UTF-8

  • Maximum file size: 10 MB

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