How to Add Metadata Tags and Attributes to your Graph Segments and Statements

There are several ways to do metadata tagging in InfraNodus. The general idea is to tag the statements by tags which you can then use to filter the statements and highlight / filter the graph.

Video Tutorial

1. Automatic Tagging Using the InfraNodus Import Function

When you import a graph that has data from multiple sources, InfraNodus will add the tags automatically for you.

For example, when you import the news of the day (or RSS feeds or URL content) from different newspapers (sources), InfraNodus will add a tag with the newspaper name to each article, so you can easily filter them by news sources.

When you import Google search results for several search queries into the same graph, every search query will have its own tag attribute.

When you import several files, InfraNodus will add a tag for each file, so you can easily filter the statements by files.

For instance, for the news of the day import app in InfraNodus, once we visualize the graph, we can open the filter panel and choose to see the articles only from the NY Times and The Guardian:

As a result, we will see the selected filters at the top left and the filtered statements shown below (49% of the total 101). The graph highlights the relations related to the statements filtered:

In order to perform a more precise segmented analysis by text attributes, we can add them using a CSV file. 

2. Adding tags using the CSV / spreadsheets file

For more control, you can add tags to your statements using a CSV / spreadsheet file. In order to do that, you need to designate the columns you will be using for tagging. 

If you use text values in those columns those values will be used as categories. If the column has a numerical value, InfraNodus will automatically generate five quantile buckets that will contain equal number of results in each, which you can use for filtering later. 

For example, suppose you have the following table showing the search queries, the country they originate from, type of intent, and popularity:

As a CSV file, it will look something like this (you can download it here):

"Search query","Country","Type","Popularity"
text analysis tools,US,Academic,70
thematic analysis,UK,Academic,60
network analysis,UK,Business,50
data visualization,US,Business,55

When you import this file as a CSV, InfraNodus will offer you to specify:

1) Which column(s) you use for analysis (choose Search Query)

2) Which column(s) you use for filters (choose "Country", "Type" and "Popularity"):

After you import the graph, you will have the following tags available:

- Country (US or UK)

- file name filter

- Popularity (max 5 quantile buckets with the equal number of statements in each ranging from min to max value)

- Type

You can then use these tags to filter the statements and the graph by those tags. Combining them together or looking for intersections (e.g. which results are from the US and have "Academic" type)

3. Adding tags manually to the statements

You can add the tags manually to a single statement or a group of statements using the InfraNodus editor or by using the special [squarebracket] syntax in the statements' text.

A. Using the tags panel

To add the tags to a statement manually, add it into the "Tags" field in the Editor when adding / editing a statement:

You can also tag several statements at once using the "Select All" button (or highlighting several statements at once using an existing tag or a topic) and then clicking the "Tag" button below and tagging them all at once with a new tag. This can be particularly useful for coding. 

B. Using the [squarebracket] syntax 

You can also use automatic tagging if you use single [squarebrackets] in statements. In that case, unless you change your processing settings, squarebrackets will be treated as tags and will not be visualized in the graph.

For instance, for the two statements below:

apples and oranges are delicious [fruits]

cucumbers and tomatoes go well together [vegetables]

they will be categorized under "fruits" and "vegetables" accordingly.

You will then able to filter them using the Filter tab at the top.

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