Patent ID: 11966702
Assignee: ALPHAVU, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method comprising:
receiving, via a network, at least one digital transcription of a conversation or statement from a digital communication platform;
determining, by a processor, from the digital transcription of the conversation or statement, a conveyed quantitative sentiment value using a plurality of machine learning (ML) techniques, the determining the conveyed quantitative sentiment value comprising the steps of:
a. processing the at least one digital transcription of the conversation into a machine interpretable form by unigram and bigram Term Frequency-Inverse Document Frequency (TF-IDF) vectorization and 100-Dimensional Singular Value Decomposition (SVD);
b. calculating, using a set of trained neural network ML models, a 0 sentiment sub-classification problem from the machine interpretable form;
c. calculating a discrete sentiment probability distribution related to a sentiment classification of each model;
d. calculating a weighted sum of the discrete sentiment probability distributions; and
e. calculating a maximum of the discrete sentiment probability distributions and returning the corresponding sentiment as a final sentiment classification.