PATENT CLAIM ANALYSIS

Application Number: 15956101
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["707", "748000"]

Abstract:
Users receive information which must be filtered, processed, analysed, reviewed, consolidated and distributed or acted upon. Prior art tools automatically processing content to assign sentiment to the content are ineffective as essential aspects such as context are not considered. Embodiments of the invention provide automatic contextual based sentiment classification of content in terms of both sentiments expressed and their intensity. Further a content set is analysed to rapidly establish an “at-a-glance” type assessment of the key topics/themes present within the content set and sentimentally annotate each. Importantly embodiments of the invention also provide for a user to establish the basis for the sentiment associated with an item of or set of content, i.e. make it explainable. Further embodiments of the invention provide for the establishment of psychological tone to sentiments where the sentiments and psychological tones to be tuned from the context or domain of the content.

Claim (Index 4):
The method according to  claim 1 , further comprising:\n associating a domain with the item of electronic content of the plurality of items of electronic content; and establishing a sentiment lexicon of a plurality of sentiment lexicons in dependence upon at least the domain; wherein the sentiment lexicon defines the plurality of positive sentiment terms and the plurality of negative sentiment terms.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 1.75
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13753668', '13753645', '11479522', '14384834', '13052686']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1698074511529748
- 35 USC 102 Novelty (BERT): 0.5066185891709699
- Combined Prediction Score: 0.2034885649547743
- Mean Citation Score: 185.654656
- Max Citation Score: 233.09554
- Similarity Product: 146.6752550622642

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

Dataset: test