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| AmCAT Version |
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| This page describes a feature in AmCAT 3.4 |
| View other version: 3.3 - 3.4 - 3.5 |
The output option Article List in the Query search is the second of three main functions of automatic content analysis in AmCAT. The Article List function provides the option to display your search results as a list and can be very useful to get a first impression of whether the search string(s) you have used generated the desired hits.
When you select the output option 'Article List' and click on the 'Submit' button below the output options, AmCAT provides you with a table displaying your search results. The metadata are displayed in the columns. AmCAT displays the Article ID, Date, Headline, Medium ID and Medium by default, but you can easily add or remove metadata to/from the table. To do so, you click on the drop down list next to 'Columns' and select (i.e. check) the metadata you want to display in the table (see Figure 6.4.1). The 'Keyword in Context' option may be particularly useful here, since this shows your search term in the specific context of the article and can thus help you to efficiently judge if your search term generated good hits.
Let's take a look at an example. We will use the article set called 'Wikinews articles for terror*', an article set with all Wikinews articles including the word 'terror' from November 2004 until January 2015. Let's say we want to get an impression of the context in which Isreal and Palestine are mentioned in the Wikinews articles on terror*. We enter 'isreal' and 'palestine' on seperate rows in the Keyword Search string(s) field. In the drop down list next to 'Columns' we select keyword in context, date and headline. Next we click 'Submit' and get the table displayed in Figure 6.4.2. The table displays for each article in the set including our search terms the article date, headline and the keyword in context. The column labeled 'left' shows the words that occur prior to the keyword in the article, whereas the column labeled 'right' shows the words that occur after the keyword in the article. Combined with the article headlines, this information can help us to quicky get an impression of the type of articles our search terms generated and whether these are what we are looking for. If this is not the case, we will have to improve our search terms until they do provide us with the type of articles we are looking for.
The Article List function provides four additional options that are identical to those of the Summary function: Assign as codingjob, ClusterMap, Associations and Save as Set. Each of these possibilities is discussed in detail on the Summary function page. Below these four functions, you find an 'Export' button. By clicking on this button, you can download the results of your search as either a CSV, Excel, JSON, SPSS or HTML file. You can do so by clicking on the drop down list next to 'Export as' and selecting the format of your preference (see Figure 6.4.3). You don't have to necessarily download all of the results. You can download a selection of all the articles if you prefer. Just enter the number of results you want to download in the box between 'Limit to' and 'results'. When ready, click 'Export'.
On the Article List page, there is an option to export a random sample to a new article set. This can be done by clicking the `Sample` button in the toolbar. After clicking the button, a menu opens where you can enter the sample size, and the name of the new article set that will contain the sampled articles. Clicking the 'Save' button will create and take you to the article set containing the sample.
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