Stratifyd Semantic Category is a grouping of inter-correlated visual widgets detailing the "what", "when" and "where" of your data. 


                                 Topics                                                                                                                         Buzzword


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                Temporal Trend                                                                                                                                Geo


                                               

The "What" - the "what" is comprised of two components Topics and Buzzwords 


Topics are displayed in the order of statistical relevance with T1 having the strongest semantic correlation, then T2, T3, T4…Topics help you easily identify themes and emerging issues in textual data. The % of the Topic indicates it's semantic significance.  Each topic also provides users with the context of which the buzzwords are being read. Hovering over a Topic, you will see a short description of what is being analyzed. All the other visual components (Buzzword, Temporal Trend, Geo) will update in correspondence with the Topic you mouse over. 


Buzzword is comprised of bi-grams (e.g. two-word phrases). The Signals analysis engine reads and processes every bi-gram of every document identifying statistically relevant topics of conversation. In addition, Signals™ extracts Named Entities from all of the content. Buzzwords can be visualized in both Word Cloud view (see above), or the List View (can be sorted by frequency). The larger the font is, the more relevant and frequent a buzzword is. 



The "When" 


 Temporal Trend graph visualizes the temporal trend of each topic in your textual data. *This temporal trend graph does not visualize date and time for data that do not contain texts. You can create additional time-series chart via our Structured Visualization Widgets. More to reach on that topic here "How to create a widget (visualization)?"


The "Where" 


Geo visualizes the geographical locations of your data on a country, state, city or street-address level. The number on each Geo hotspot shows the volume of feedback in the region. Clicking on the region will filter the data to the selected location. Read More at "How is Geo location analyzed?