Sentiment Analysis Time Zone Alignment via Broadcast Offsets
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Solution Overview
Problem
Existing methods fail to accurately untangle sentiment responses from users in different time zones due to rolling broadcasts, as sentiment data becomes muddled when different program segments are broadcast at varying times across multiple zones, and reliance on location information in social media data is unreliable.
Innovation Solution
A method that analyzes social media inputs to group users by similar sentiments during specific periods, assigns a time zone based on historical non-program content-specific data, and uses fabricated events to disambiguate ambiguous time zones, shifting sentiment values to align with the correct broadcast time, thereby producing a clear sentiment analysis report across multiple time zones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If sentiment data from users in different time zones is collected during rolling broadcasts, then the quantity of sentiment data increases, but the accuracy of sentiment analysis deteriorates due to muddled data from different program segments
Solution Approach 1:
The patent segments sentiment data by time zones and program segments, creating distinct groups for each combination. This allows the system to process and analyze sentiment data separately for each segment, preventing the muddling of responses from different program portions while maintaining the ability to collect from all time zones simultaneously.
Solution Approach 2:
The patent introduces an intermediary mapping mechanism that links sentiment data to specific program segments through time zone offset calculations. This intermediary layer (the mapping data structure) connects user sentiments to the correct program portion they are responding to, even when broadcasts are rolling across time zones.
2Ease of operation
If location information from social media data is used to determine time zones, then the process is simple, but the reliability of time zone assignment deteriorates due to unreliable location data
Solution Approach 1:
The patent performs preliminary action by collecting time zone information through multiple methods (location data, user profile, or inference from sentiment timing patterns) before the sentiment analysis process. This allows the system to have time zone data ready and verified through cross-checking mechanisms, improving reliability without adding complexity during the main analysis workflow.
Solution Approach 2:
The system allows users to self-identify their time zone through profile information or by analyzing the timing of their sentiment responses relative to program broadcast times. This self-service approach eliminates reliance on potentially inaccurate location data while keeping the process simple for users.
3Device complexity
If sentiment values are analyzed without time zone adjustment, then the analysis process is straightforward, but the alignment between sentiment and broadcast time deteriorates
Solution Approach 1:
The patent changes the time parameter of sentiment values by applying time zone offsets. Each sentiment value is adjusted by adding or subtracting the appropriate time zone offset to align it with the program segment it represents. This parameter transformation maintains the straightforward analysis process while achieving precise temporal alignment.
Data Source
AI summary
Social media inputs specific to a content of a broadcast program and received from a plurality of users are analyzed to determine a sentiment value expressed relative to a portion of the content. A group is formed of those users whose sentiment values expressed relative to the portion of the content are within a specified tolerance value of sentiment value and are expressed within a defined period during the broadcast of the program. A historical data from the inputs unrelated to the content is analyzed to extract an entity. A time zone of a geographical location of the entity is associated with the group. a sentiment of the group expressed relative to the portion of the content is shifted by an amount of time on a program continuum timeline, such that the sentiment of the group aligns with a time when the portion was broadcast in the time zone.