PATENT CLAIM ANALYSIS

Application Number: 16111580
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["084", "602000"]

Abstract:
A lyrics analyzer generates tags and explicitness indicators for a set of tracks. These tags may indicate the genre, mood, occasion, or other features of each track. The lyrics analyzer does so by generating an n-dimensional vector relating to a set of topics extracted from the lyrics and then using those vectors to train a classifier to determine whether each tag applies to each track. The lyrics analyzer may also generate playlists for a user based on a single seed song by comparing the lyrics vector or the lyrics and acoustics vectors of the seed song to other songs to select songs that closely match the seed song. Such a playlist generator may also take into account the tags generated for each track.

Claim (Index 9):
A system comprising:\n a computer-readable memory storing executable instructions; and one or more processors in communication with the computer-readable memory, wherein the one or more processors are programmed by the executable instructions to at least perform: receiving a plurality of tracks at an information storage and retrieval platform via an electronic communication from a datastore of tracks, a plurality of the tracks including lyrics; extracting n topics summarizing the lyrics of the plurality of tracks, each topic consisting of a plurality of words, where n is an integer; generating, for each of the plurality of tracks, an n-dimensional vector using a generative statistical model based on the association of the lyrics of the track with the n topics, thereby generating a plurality of n-dimensional lyrics vectors; receiving a seed track from among the plurality of tracks; calculating a similarity score for each of the plurality of tracks to the seed track, based on their respective n-dimensional lyrics vectors, thereby generating a plurality of similarity scores; and generating a playlist of tracks based on the plurality of similarity scores.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 96.0
- Lexical Diversity: 1.79452
- Patent Class: 84.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15366998', '14467975', '13313259', '13103445', '12577374']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5635786283475536
- 35 USC 102 Novelty (BERT): 0.4829725103751219
- Combined Prediction Score: 0.5555180165503104
- Mean Citation Score: 191.68367
- Max Citation Score: 201.47537
- Similarity Product: 142.46464596636238

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

Dataset: test