Patent Publication Number: US-2022237195-A1

Title: Full Fidelity Semantic Aggregation Maps of Linguistic Datasets

Description:
BENEFIT CLAIM 
     This application is a continuation of application No. 63/140,828, flied 23 Jan. 2021, a provisional application which is claimed as an earlier filing date. 
    
    
     FIELD OF THE INVENTION 
     The invention contributes to and serves language and statistics. More specifically, it covers techniques in analyzing and navigating linguistic data. 
     BACKGROUND OF THE INVENTION 
     Prior art proposes to abandon the whole of the content in returning a set of single documents, many times too numerous to review in full. The manner of presentation leaves many documents untapped. Using full fidelity semantic aggregation maps of linguistic datasets, one may interact with many documents at once (a segment a consumer may be reading may occur multiple times across multiple documents). In the right scenarios, this may improve a consumer&#39;s experience. 
     BRIEF SUMMARY OF THE INVENTION 
     Phrasing commonalities and linguistic attribution (e.g., markup, parts of speech, chunking, synonyms, pronunciation keys) are used to produce semantic aggregation maps. These result sets add depth and understanding in interacting with linguistic datasets. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWING 
         FIG. 1 —Shows how a simple query may function, with results that display the count of occurrence. 
         FIG. 2 —Demonstrates how navigation may occur. 
     
    
    
     DETAILED DESCRIPTION OF THE INVENTION 
     Linguistic data may be collected, targeted, and compared with a query term. Data, forward (word or segment of words after query match), backward (word or segment of words before query match), or both, may be collected, aggregated, and presented to the user for analysis and/or navigation. 
       FIG. 1  shows a simple user interface used to initiate the process. Passing the query string, it is compared with linguistic data, forward data is collected when a match occurs, then aggregated. The aggregates are then presented to the user. Once the aggregates are displayed, the user can navigate the data as shown in  FIG. 2 , including modifying the search box, click through or other mechanisms. 
     Additional linguistic attributes, as at least partially listed above, may be used to improve the quality of the queries, interaction, and results. 
     Data in this format may be useful to individuals or organizations looking to maintain a better understanding of prolific individuals, crowds, or companies.