Inicio  /  Applied Sciences  /  Vol: 12 Par: 19 (2022)  /  Artículo
ARTÍCULO
TITULO

Applying Natural Language Processing and TRIZ Evolutionary Trends to Patent Recommendations for Product Design

Tien-Lun Liu    
Ling-Hsiang Hsieh and Kuan-Chun Huang    

Resumen

The research may be applied to computer-aided innovation system to assist product design process.

 Artículos similares

       
 
Yaser Altameemi and Mohammed Altamimi    
Using advanced algorithms to conduct a thematic analysis reduces the time taken and increases the efficiency of the analysis. Long short-term memory (LSTM) is effective in the field of text classification and natural language processing (NLP). In this st... ver más
Revista: Applied Sciences

 
Fetoun Mansour AlZahrani and Maha Al-Yahya    
Authorship attribution (AA) is a field of natural language processing that aims to attribute text to its author. Although the literature includes several studies on Arabic AA in general, applying AA to classical Arabic texts has not gained similar attent... ver más
Revista: Applied Sciences

 
Chuyang Yang and Chenyu Huang    
Advanced digital data-driven applications have evolved and significantly impacted the transportation sector in recent years. This systematic review examines natural language processing (NLP) approaches applied to aviation safety-related domains. The auth... ver más
Revista: Aerospace

 
Fatemeh Gholami, Zahed Rahmati, Alireza Mofidi and Mostafa Abbaszadeh    
In recent years, machine learning approaches, in particular graph learning methods, have achieved great results in the field of natural language processing, in particular text classification tasks. However, many of such models have shown limited generali... ver más
Revista: Algorithms

 
Ratnesh Kumar Sharma, Gnana Bharathy, Faezeh Karimi, Anil V. Mishra and Mukesh Prasad    
This literature review explores the existing work and practices in applying thematic analysis natural language processing techniques to financial data in cloud environments. This work aims to improve two of the five Vs of the big data system. We used the... ver más
Revista: Information