Dimensions in Media Monitoring & Analytics
Updated
Dimensions in Media Monitoring & Analytics (MM&A) help you to slice and dice the metrics depending on your use case. For example – Country and Sentiment are dimensions and you can use them to analyze Impact across countries or News mentions across sentiment.
Below are the dimensions Sprinklr offers, alongside a brief description of the same –
Dimension | Description |
Conversation Stream | The actual message that matches the applied filters. It is applicable to all sources (News, Blogs, Print, TV, Twitter, Facebook, Reddit, and Radio) |
Word Cloud | The word clusters that show the most used words in messages. |
Word Cloud - Overall | Terms weighted by the frequency of use within the title and body of a message. |
Word Cloud - Title | Terms weighted by the frequency of use within the title of a message. |
Word Cloud - Top Phrases | Terms weighted by the frequency of use within the top phrases of a message. |
Top Advocates | Authors who have posted the maximum number of positive messages that match the applied filters. It is applicable for social sources. |
Top Detractors | Authors who have posted the maximum number of negative messages that match the applied filters. It is applicable for social sources. |
Sentiment | The sentiment of the message as detected by Sprinklr AI. |
Source | The source of the message such as News, TV, Print, or social network such as Twitter, Facebook, etc. |
Created Time | The time at which the message was created (as provided to Sprinklr via data providers). |
Publication | News publication labels or the corresponding domains. The news publication labels are manually curated by Sprinklr. If curation is unavailable, the actual domain URL will be provided. |
Journalist | Author of a news message. Note that this is based on the automatic extraction of the journalist's name as available in the online news. If the author's name is not available in the byline of the article, the publication name is added as the Journalist's name. |
TV Channel | TV channel labels as provided by the broadcaster. |
Active Story | Title of the stories that are updated during the selected time. This dimension is useful to analyze data at a story level. |
Category | News category that a message belongs to, as categorized by Sprinklr AI. |
Message Type | Classification of a message. Eg: Update, Reply, Mention, Retweet, etc. |
Story Query | Boolean Queries that are used to filter the relevant data. This is the most important filter that needs to be applied to a dashboard to pull in the Please check out the tips to create a Story Query in this article. |
Story Query Tags | Tags that are used to group story queries.
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Print Source Name | Name of the print publication as provided by the data vendor. It is applicable for Print as a source. |
Country | The user-provided or Sprinklr-identified country of origin of the message. This is applicable to all sources. For online news and blogs, the country is mapped at the parent domain level. For example, all articles from cnn.com will be mapped to the United States as cnn.com is the United States. The following are the logics used in the country mapping (in priority order):
There could be certain domains that are hard to code, in spite of the above heuristics. In that case, the best human judgment is taken to codify the country. Hence, classification errors could be present. Also, it is important to know that ambiguous news sites are not assigned any country tag. This means filtering based on countries can result in lower mention counts. |
City | The user-provided or Sprinklr-identified city of origin of the message. |
State | The user-provided or Sprinklr-identified state of origin of the message. |
Language | Sprinklr-identified language of the message. |
Media Source Category | Describes the type of publication that an article is from. Following are the categories available in Sprinklr:
It is applicable for News, Print, TV, and Radio as a source. Please note that this metadata is not enriched for 100% of the data and is enriched wherever available. |
Media Source Name | Name of the Media Source for News websites, Blog sites, Print publications, TV channels. This is simply a cumulation of individual source names, such as
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Age category | The user-provided or Sprinklr-identified age category of the author. It is applicable for Twitter. |
Gender | The user-provided or Sprinklr-identified gender of the author. It is applicable for Twitter. |
Media Title | The headline of the article as available on the online website or the print publication. It is applicable for News and Print as sources. |
Editorial Rank | Source-level categorization indicates the editorial ranking of the source. It is applicable for News as a source. The five source ranks are
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Story Tags | Tags that can be used to bookmark or group stories. The detailed article can be found in this link.
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