- Tytuł:
- Domain specific key feature extraction using knowledge graph mining
- Autorzy:
-
Barai, Mohit Kumar
Sanyal, Subhasis - Powiązania:
- https://bibliotekanauki.pl/articles/2027771.pdf
- Data publikacji:
- 2020
- Wydawca:
- Uniwersytet Ekonomiczny w Katowicach
- Tematy:
-
Feature extraction
Knowledge graph
Natural language processing
Product review
Text processing - Opis:
- In the field of text mining, many novel feature extraction approaches have been propounded. The following research paper is based on a novel feature extraction algorithm. In this paper, to formulate this approach, a weighted graph mining has been used to ensure the effectiveness of the feature extraction and computational efficiency; only the most effective graphs representing the maximum number of triangles based on a predefined relational criterion have been considered. The proposed novel technique is an amalgamation of the relation between words surrounding an aspect of the product and the lexicon-based connection among those words, which creates a relational triangle. A maximum number of a triangle covering an element has been accounted as a prime feature. The proposed algorithm performs more than three times better than TF-IDF within a limited set of data in analysis based on domain-specific data.
- Źródło:
-
Multiple Criteria Decision Making; 2020, 15; 1-22
2084-1531 - Pojawia się w:
- Multiple Criteria Decision Making
- Dostawca treści:
- Biblioteka Nauki
Artykuł