Project Settings and Reports Page
You can view and configure settings for your project in the "Settings and Reports" tab of the project. Projects will automatically re-explored with the updated settings, once the settings have been changed.
If you would like to configure the Default Project Settings for your account, so that all new projects that you create receive custom values for the settings, please refer to the Default Project Settings section.
The overview sub-section provides an overview of your project and allows you to edit certain information about your project. You will find information about the project's name, columns, size and language.
Edit project name
You can edit your project's name by clicking the pencil icon next to the current project title. The title is saved once you click away from the text box or press the Enter key.
Edit project columns
The project's column headers are listed in a table, you can edit each of them by clicking the pencil icon on the same line. The column of your dataset that has been explored is highlighted by a blue pill.
These are the general settings pertaining to the advanced modelling section of your project.
Here you can configure your analysis by specifying :
- If you want to include Empty Texts You may choose to include cells with empty texts in your analysis for statistical purposes. Empty texts are included by default.
- The number of topics to return Topics are included in your analysis based on frequency. All pinned topics will be included in the analysis by default. The default number of included topics is 30.
- The number of related topics generated per topic Related topics are terms which occur often with a particular topic. The related topics are not necessarily in the list of topics in your analysis.
- The maximum number of unique values for a column to be a filter You can filter your dataset based on the values of one or more columns in the Toolbox section of the project. For a column to be eligible as a filter, it needs to have fewer unique values than the threshold specified.
- If you want to include Theme Wheel for pinned topics Theme wheels visualize the frequency of topics and their most frequent related topics.
Coverage allows you to get statistics for the texts that did not belong to any of the topics in the analysis. You will be able to see the percentage, sentiment and examples of the texts which do not match any of the topics as a separate 'Unclassified' topic in the Advanced Modelling page.
The default is to group texts not matching any of the topics of the project into the 'Unclassified' Coverage topic. When enabled, you can specify how the coverage analysis should be performed. The default setting is "All" which means that coverage is calculated for those texts that do not match any topic in the project. You can also select "Only pinned" which will cause coverage to be calculated only for those texts that do not match any of the pinned topics. If you do not want to analyse coverage, you can disable it.
The Sentiments settings can be used to fine tune the sentiment analysis for your project.
You can configure the following settings in the Sentiment sub-section:
- Enable the new sentiment algorithm The new algorithm provides more accurate, topic specific sentiments and is now the default unless you change the setting here. The classic algorithm will soon be decommissioned. You can read more about each of these algorithms in section Sentiment Analysis In Explorer.
- Configure the on-demand sentiments and suggestions Calculating sentiments and suggestions for all topics at once takes time. If you want your explorations to be faster, you can configure the sentiment and suggestion calculation to be 'on-demand' by indicating the size of the dataset (in MB), above which we should switch to on-demand calculation. Maximum value is 10 MB.
- Select Active Sentiments. Which sentiments should be calculated and shown in the sentiment bar for every topic? You can choose maximum 3 out of 8.
- Show neutral sentiment. Show the neutral value of each topic alongside of the actual sentiment values. The value corresponds to the number of texts that were not covered by any of the selected sentiments. For each text, neutral is calculated by giving it the value 1 if none of the currently selected sentiments have any value. This calculation is the same regardless of which sentiment calculation method you use (see below).
- Select the Sentiment calculation method. There are 3 ways to calculate sentiments for topics and texts. The sentiment, in each case, is calculated for each text and then aggregated to get the sentiment results on the topic, group or project level. The sentiment calculation method allows you to decide how they are calculated for each text.
- "Aggregated Sum": Each sentiment gets a score which corresponds to how often that sentiment occurs in the text.
- "Binary Distributed": Each sentiment present in the text is given a score of one, regardless of how many times it occurs.
- "Binary": A score of one is given to highest scoring sentiment in a text and none to the others.
This section allows you to configure some global settings for the dashboard. Please note, changing one of these settings will cause the existing dashboard graphs to be re-generated based on the updated settings. Display settings for the individual graphs can be changed by clicking the 'Configure' icon on the graphs in the dashboard.
- Include only pinned topics in the graphs The default is to include all the topics from your project in the dashboard. Enable this setting if you want to include only the pinned topics.
- Metric used in the dashboard We try to identify columns which could be grades or ratings in your dataset and if we do find any such columns, we generate the dashboard using one of these columns as the metric. This setting allows you to change the column selected as the metric or use the calculated sentiments for the texts as the metric.
- Date column to use in timeseries graphsAll the timeseries graphs in the dashboards need a date column from your dataset to use for the time axis. We try to identify potential date columns in your dataset, and select one of them to use for the timeseries graphs. If you would like to change the date column used in the timeseries graphs, you can do so here. Please note that this setting is only visible if we have detected more than one date column in your dataset.
Adding Data to your Project
It is possible to add several files to an existing project by uploading another CSV (.csv) or Excel file (.xlsx, .xls). The file needs to have the same columns as the one you initially uploaded and should NOT contain a header Row (that first row which names the column). Drag and drop the new file or choose one from your computer to have them added to the project.
The project's status will change to "Appending" and the project will be re-explored. When it switches back to "Ready" you can continue the analysis of your project. The amount of rows in the project will change according to the appended files, but if there are pinned topics and/or groups in the project - they all remain in place. See section Pin Button In the section below, you can see the history of file uploads. Each row mentions the file name and format, its date of addition and the amount of rows.
Deleting data from a project
You can also delete a file that was previously added to your project. In the table listing the files that were added to the project, identify the file that you would like to delete and click the cross icon at the end of the line. A popup appear asking you to confirm the deletion.
When being deleted, the project status will change to "Deleting". It is not possible to make any more changes until the deletion is complete. It can take some time depending on the file size.
You can export a report by navigating to the Advanced Modelling tab and clicking the 'Export Results As ..' dropdown.
In the Reports Sub-section you will see entries for all reports created in the project. Once a report has been successfully generated, you can download it by clicking the "download" icon on the same line. In case something wrong happens during the export, you'll be notified by an "Error" icon. You can also delete a report by clicking the cross icon at the end of the same line. You will be presented with a confirmation pop-up to ensure you don't delete a report accidentally.
Delete a project
You can remove a project from this section. You will be presented with a confirmation pop-up to ensure you don't delete a project accidentally. Please note that deleted projects cannot be restored and all data related to the project, including the dashboard and reports will be deleted.