PATENT CLAIM ANALYSIS

Application Number: 16032412
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["705", "007290"]

Abstract:
Embodiments described herein provide a social media analytics platform. An entity may be configured with respect to the platform and a number of social media accounts, and other data such as aliases or search terms associated with the entity. Data is collected at certain intervals from the various online sites, including social media sites, using the various disparate and proprietary interfaces and data models provided by the sites and the configurations for the social media accounts associated with an entity. Using this data obtained from these online sites one or more scores can be calculated or update based on the data, where the score(s) may serve to quantify a facet of the entity's social media exposure and may serve to be domain specific to the entity. The scores for each of the indices for an entity can thus serve to quantify facets of an entity's social media exposure.

Claim (Index 9):
The system of  claim 8 , wherein the first facet is Conversation, the first set of data points are the conversation categories, the conversation categories include positive conversation categories and negative conversation categories and the scoring module is operable to determine the first score for the first facet by:\n normalizing the value for each of the conversation categories; for each of the positive conversation categories, weighting the normalized value for that positive conversation categories utilizing the weight corresponding to that positive conversation categories for the domain of the entity, determining a positive weighted average based on the weighted normalized values for each of the positive conversation categories, and applying a first distribution function to the positive weighted average; for each of the negative conversation categories, weighting the normalized value for that negative conversation categories utilizing the weight corresponding to that negative conversation category for the domain of the entity, determining a negative weighted average based on the weighted normalized values for each of the negative conversation categories, and applying a second distribution function to the negative weighted average; and determining the overall conversation score for the entity by adjusting a starting score with the positive weighted average and the negative weighted average.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 95.0
- Lexical Diversity: 1.95181
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14498840', '15065594', '14278954', '15065559', '12918279']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1227270925340618
- 35 USC 102 Novelty (BERT): 0.5908536383726876
- Combined Prediction Score: 0.1695397471179244
- Mean Citation Score: 294.5785160000001
- Max Citation Score: 491.4589
- Similarity Product: 458.2904943227946

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test