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Browse our merchandise below or contact us when you've got any questions. You too can browse our merchandise beneath or contact us for additional assistance. You may also need to browse the dataset web page to learn about what people and tags available to be used in queries. For instance, should you had been all for how much certain foreign international locations are mentioned on the news, you may use text filters to compare the amount of time nation names are talked about in the captions. A standard use of multiple filters is to restrict display time computations to sure channels, information packages, or specific instances of day or days of the week. It does not rely the number of instances the specified phrase is found within the captions. Queries might also filter video content material based mostly on the text contents of video captions. You can further examine these results by enjoying the video clips in addition to viewing their captions. Another frequent job is to view chosen clips when debugging a more advanced question to ensure the question is deciding on the sorts of videos intended. In lots of conditions it is beneficial to view examples of video clips that cross a question's filters. When viewing a graphs on the primary Stanford Cable Tv News Analyzer site, clicking on the graph will display a random choice of video clips that matched question's filters at that point in time.

For instance, you may want to inspect the matching video clips to get of sense of whether or not automated face identification is robustly recognizing the individual specified in the question. For instance, the graph under extends our previous Kamala Harris vs. Elizabeth Warren graph with a 3rd line that plots the period of time the place each Ms. Harris AND Ms. Warren are on display. The next graph compares the display screen time of Kamala Harris to that of Elizabeth Warren. For instance, in the graph under we compare the display time of Kamala Harris between 6-10pm (US Eastern time) on CNN, with that of Fox News and MSNBC. More lately we see the rightmost spike in August 2020 after Ms. Harris was named Joe Biden’s running mate. For instance, below is a query that computes the amount of time Kamala Harris's face appeared on display in each month since January 1, 2010. One obvious feature of the graph is the spike in coverage in July 2019 after the primary Democratic main debate.

Observe that the above graph computes the period of time where Ms. Clinton is on screen AND the word "e-mail" is spoken, but this query doesn't imply that the word "electronic mail" was spoken by Ms. Clinton. For example, the next graph computes the time that Hillary Clinton is on screen AND the word "email" is spoken. We encourage you to vary the title used in the question above to compute the display time for different individuals. It is necessary to note that the above graph plots measurements of time. To allow extra exact management over what video segments are included in a screen time computation, queries may contain a number of filters connected by AND's and OR's. 1 second. If textwindow is set to 0, then the time when the phrase is said is used; in this case, customers should be aware that longer text phrases could contribute more time per occasion than shorter phrases. Many questions on cable Tv news content require comparisons between completely different screen time computations. All queries run by the Stanford Cable Tv Analyzer, whatever the filters used, compute the time spanned by video segments that match the specified filters. Writing a query using the Stanford Cable Tv Analyzer involves specifying filters that determine what video segments to include in a display screen time computation.

The next table supplies a few really helpful kinds of energy and control cable by basic application. You've now seen a few primary examples of writing screen time queries. At this time the Stanford Cable Tv Analyzer does not provide the flexibility to determine who spoke the phrases within the text caption. The advanced documentation page describes further features of textual content filters, such the power to specify of lists of words in a filter (e.g., matter lexicons) or perform searches that match inflections of a phrase. To study extra about more superior query features not discussed on this tutorial, please have a look on the superior queries web page. Since textual content filters (like all different filters) are used to pick video segments, they are often combined with all other filters in queries. Combining textual content and face filters (e.g, title or tag) can yield attention-grabbing queries. One in every of the most important filters is the title filter, what is control cable which selects video segments where a specified individual seems on display screen. The folks page offers the full record of names that may be used in a reputation filter. Available in shielded and unshielded choices, these cables could be applied in many alternative applications reminiscent of VFD drive/motor connections, HVAC, conveyors, automated manufacturing systems, cable tracks, continuous flex purposes, together with many others.