SYSTEMS, DEVICES, AND METHODS FOR AUTOMATIC DETECTION OF FEELINGS IN TEXT

摘要

Embodiments described herein relate generally to content analysis technologies and natural language processing (NLP). In particular, devices, systems, and methods may implement a reverse sentence reconstruct (RSR) utility, and a sentence vectorization technique (SVT) utility. A computer server may be configured to receive a feeling classification request with text data elements, and in response, generate a feeling classification response indicating feeling for the text data elements using the RSR utility and the SVT utility.

主权项

1. A system comprising:
at least one client computing device executing an application to transmit a set of text data elements as a feeling classification request; at least one computer processor in communication with the at least one computing device over a communications network to receive the feeling classification request, and in response, transmit a feeling classification response, the computer server configuring a text analysis engine, a reverse sentence reconstruct (RSR) utility for determining grammatical and semantic structure of the set of text data elements, and a sentence vectorization technique (SVT) utility to generate SVT models, wherein the computer server is configured to compute the feeling classification response using the RSR utility and SVT utility, wherein the RSR utility interacts with the SVT utility to provide a parsing component to generate a syntactic text tree with parts-of-speech for the text data elements and a classification component to classify feeling of the text data elements for the feeling classification response; and at least one data storage device storing the SVT models, a labelled text corpus and a slang and spelling dictionary.