Frequently Asked Questions

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This is the percentage of words that had matches in the tonal dictionary as an indicator of how emotionally polarized or charged the text is. If Polarity is high, but Tone is neutral, this suggests the text was highly emotionally charged, but had roughly equivalent numbers of positively and negatively charged emotional words.

This allows you to filter the searches by a created date range.

This allows you to filter on location or 'geo fence'.  This gives you the ability to specify a radius, location or both.  The Search Engine will return events that match the specified criteria.

The application attempts to score each story with more than 2900 dimensions of over 40 different dictionaries. This segmentation of the story gives the reader the ability to finely tune searches to their particular preferences.

This shows your location and another other geographic locations that are parsable in the story.

This contains a list of all proper names referenced in the document. This field records all proper names referenced in the article, ranging from named events like the Orange Revolution, Umbrella Movement, and Arab Spring, to movements like the Civil Rights Movement, to festivals and occurrences like the Cannes Film Festival and World Cup, to named wars like World War I, to named dates like Martin Luther King Day and Holocaust Remembrance Day, to named legislation like Iran Nuclear Weapon Free Act, Affordable Care Act and Rouge National Urban Park Initiative. This field goes beyond people and organizations to capturing a much broader view of the named events, objects, initiatives, laws, and other types of names in each article.

This is the percentage of all words in the article that were found to have a negative emotional connotation. Ranges from 0 to 100.

This allows you to order, or sort, the results of your search.

This is the percentage of all words in the article that were found to have a positive emotional connotation. Ranges from 0 to 10.

News coverage frequently features excerpted statements from participants in an event and/or those affected by it and these quotations can offer critical insights into differing perspectives and emotions surrounding that event. Our data sources identify and extract all quoted statements from each article and additionally attempts to identify the verb introducing the quote to help lend additional context, separating 'John retorted…' from 'John agreed…' to show whether the speaker was agreeing with or rejecting the statement being made.

This is the percentage of all words in the article that are pronouns, capturing a combination of self-references and group-based discourse. News media material tends to have very low densities of such language, but this can be used to distinguish certain classes of news media and certain contexts.

The site that the story was found on.

This contains a list of all themes referenced in the document. At the time of this writing there are over 300 themes currently recognized by the system.

This contains a list of all titles in the system. Allows you to search against the titles of the html documents.

This is the average 'tone' of the document as a whole.The score ranges from -100(extremely negative) to + 100(extremely positive). Common values range between - 10 and + 10, with 0 indicating neutral. This is calculated as Positive Score minus Negative Score. Note that both Positive Score and Negative Score are available separately below as well.A document with a Tone score close to zero may either have low emotional response or may have a Positive Score and Negative Score that are roughly equivalent to each other, such that they nullify each other. These situations can be detected either through looking directly at the Positive Score and Negative Score variables or through the Polarity variable.

This is the total number of words in the story.

This contains a list of all Meta Descriptions in the system. Allows you to search against the meta descriptions of the websites.