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1. EP3834123 - SENTIMENT ANALYSIS OF NET PROMOTER SCORE (NPS) VERBATIMS

Office
European Patent Office
Application Number 19737433
Application Date 25.06.2019
Publication Number 3834123
Publication Date 16.06.2021
Publication Kind A1
IPC
G06F 40/20
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
40Handling natural language data
20Natural language analysis
G06F 16/35
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
30of unstructured textual data
35Clustering; Classification
G06N 3/02
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
CPC
G06N 3/0445
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architectures, e.g. interconnection topology
0445Feedback networks, e.g. hopfield nets, associative networks
G06N 3/0454
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architectures, e.g. interconnection topology
0454using a combination of multiple neural nets
G06N 3/08
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
G06N 5/003
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
5Computer systems using knowledge-based models
003Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
G06F 16/2457
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
20of structured data, e.g. relational data
24Querying
245Query processing
2457with adaptation to user needs
G06N 20/10
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
10using kernel methods, e.g. support vector machines [SVM]
Applicants MICROSOFT TECHNOLOGY LICENSING LLC
Inventors LATERZA CHRISTOPHER
Designated States
Priority Data 16127556 11.09.2018 US
Title
(DE) EMPFINDUNGSANALYSE VON NET-PROMOTOR-SCORE (NPS)-WORTPROTOKOLLEN
(EN) SENTIMENT ANALYSIS OF NET PROMOTER SCORE (NPS) VERBATIMS
(FR) ANALYSE DE SENTIMENT DE VERBATIMS D'INDICES DE RECOMMANDATION CLIENT (IRC)
Abstract
(EN) A system for identifying a sentiment accesses net promoter scores (NPS) and corresponding text data. The corresponding text data are filtered based on a maximum value of the NPS and a minimum value of the NPS. The system uses a learning algorithm to train a model based on the filtered text data and the corresponding maximum or minimum value of the NPS.
(FR) L'invention concerne un système d'identification de sentiment qui accède à des indices de recommandation client (IRC) et à des données textuelles correspondantes. Les données textuelles correspondantes sont filtrées sur la base d'une valeur maximale de l'IRC et d'une valeur minimale de l'IRC. Le système utilise un algorithme d'apprentissage pour entraîner un modèle sur la base des données textuelles filtrées et de la valeur maximale ou minimale correspondante de l'IRC.
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