FIELD: physics.
SUBSTANCE: they perform a syntactic-semantic analysis of a part of the text in the natural language for obtaining a set of syntactic-semantic structures. They perform an interpretation of syntactic-semantic structures using a set of production rules for detecting in the part of the text in the natural language an aspectual term representing the aspect associated with the target entity. The value of the classifier function is calculated, using the text characteristics obtained in the syntactic-semantic analysis, for determining the key note associated with the aspectual term. They create a report that contains a hierarchical list of aspectual terms that include the identified aspects and key tones of the identified aspects. The parameter of the classifier function is determined using a training data sample and a confirming data sample. The training data sample includes educational text in natural language containing a variety of aspectual terms.
EFFECT: improving the accuracy of sentiment analysis of texts in natural language.
14 cl, 21 dwg
Title | Year | Author | Number |
---|---|---|---|
SENTIMENT ANALYSIS AT LEVEL OF ASPECTS AND CREATION OF REPORTS USING MACHINE LEARNING METHODS | 2016 |
|
RU2635257C1 |
USE OF DEPTH SEMANTIC ANALYSIS OF TEXTS ON NATURAL LANGUAGE FOR CREATION OF TRAINING SAMPLES IN METHODS OF MACHINE TRAINING | 2016 |
|
RU2636098C1 |
MULTI STAGE RECOGNITION OF THE REPRESENT ESSENTIALS IN TEXTS ON THE NATURAL LANGUAGE ON THE BASIS OF MORPHOLOGICAL AND SEMANTIC SIGNS | 2016 |
|
RU2619193C1 |
DEFINITION OF CONFIDENCE DEGREES RELATED TO ATTRIBUTE VALUES OF INFORMATION OBJECTS | 2016 |
|
RU2640297C2 |
METHOD OF EXTRACTING FACTS FROM TEXTS ON NATURAL LANGUAGE | 2016 |
|
RU2637992C1 |
SELECTION OF TEXT CLASSIFIER PARAMETER BASED ON SEMANTIC CHARACTERISTICS | 2016 |
|
RU2628431C1 |
CLASSIFICATION OF TEXTS ON NATURAL LANGUAGE BASED ON SEMANTIC SIGNS | 2016 |
|
RU2628436C1 |
EXTRACTING INFORMATION OBJECTS WITH THE HELP OF A CLASSIFIER COMBINATION | 2017 |
|
RU2679988C1 |
EXTRACTION OF INFORMATION USING ALTERNATIVE VARIANTS OF SEMANTIC-SYNTACTIC ANALYSIS | 2016 |
|
RU2646386C1 |
CLASSIFIER TRAINING USED FOR EXTRACTING INFORMATION FROM TEXTS IN NATURAL LANGUAGE | 2018 |
|
RU2681356C1 |
Authors
Dates
2018-06-08—Published
2016-07-28—Filed