scholarly journals Practical semantic analysis of web sites and documents

2004 ◽  
Author(s):  
Thierry Despeyroux
Keyword(s):  
Web Sites ◽  
Semantic Analysis

Improving Collaborative Filtering Algorithms

2020 ◽  
pp. 638-657
Author(s):  
Firas Ben Kharrat ◽  
Aymen Elkhleifi ◽  
Rim Faiz
Keyword(s):  
Social Network ◽  
Web Sites ◽  
Opinion Mining ◽  
Semantic Analysis ◽  
Real Data ◽  
Data Sets ◽  
Suggested Approach ◽  
Opinion Score ◽  
Positive Results ◽  
Cold Start Problem

This paper puts forward a new recommendation algorithm based on semantic analysis as well as new measurements. Like Facebook, Social network is considered as one of the most well-prominent Web 2.0 applications and relevant services elaborating into functional ways for sharing opinions. Thereupon, social network web sites have since become valuable data sources for opinion mining. This paper proposes to introduce an external resource a sentiment from comments posted by users in order to anticipate recommendation and also to lessen the cold-start problem. The originality of the suggested approach means that posts are not merely characterized by an opinion score, but receive an opinion grade notion in the post instead. In general, the authors' approach has been implemented with Java and Lenskit framework. The study resulted in two real data sets, namely MovieLens and TripAdvisor, in which the authors have shown positive results. They compared their algorithm to SVD and Slope One algorithms. They have fulfilled an amelioration of 10% in precision and recall along with an improvement of 12% in RMSE and nDCG.

Improving Collaborative Filtering Algorithms

2016 ◽  
Vol 7 (3) ◽  
pp. 99-118 ◽  
Author(s):  
Firas Ben Kharrat ◽  
Aymen Elkhleifi ◽  
Rim Faiz
Keyword(s):  
Social Network ◽  
Web Sites ◽  
Opinion Mining ◽  
Semantic Analysis ◽  
Real Data ◽  
Data Sets ◽  
Recommendation Algorithm ◽  
Suggested Approach ◽  
Opinion Score ◽  
Positive Results

This paper puts forward a new recommendation algorithm based on semantic analysis as well as new measurements. Like Facebook, Social network is considered as one of the most well-prominent Web 2.0 applications and relevant services elaborating into functional ways for sharing opinions. Thereupon, social network web sites have since become valuable data sources for opinion mining. This paper proposes to introduce an external resource a sentiment from comments posted by users in order to anticipate recommendation and also to lessen the cold-start problem. The originality of the suggested approach means that posts are not merely characterized by an opinion score, but receive an opinion grade notion in the post instead. In general, the authors' approach has been implemented with Java and Lenskit framework. The study resulted in two real data sets, namely MovieLens and TripAdvisor, in which the authors have shown positive results. They compared their algorithm to SVD and Slope One algorithms. They have fulfilled an amelioration of 10% in precision and recall along with an improvement of 12% in RMSE and nDCG.

scholarly journals Development of Semantic Analysis Software Tool for Solving Problems of Text Formalization

2021 ◽  
Vol 2131 (2) ◽  
pp. 022100
Author(s):  
Olga Safaryan ◽  
Larissa Cherckesova ◽  
Denis Korochentsev ◽  
Alexander Zelensky ◽  
Yelena Revyakina ◽  
...  
Keyword(s):  
Web Sites ◽  
Text Analysis ◽  
Semantic Analysis ◽  
Software Tool ◽  
Trigger Points ◽  
Text Recognition ◽  
Analysis Software ◽  
Software Product ◽  
Web Space ◽  
Generation Information

Abstract Problem of safety ensuring of children and underage adolescents in Web–space is becoming increasingly acute. Younger generation information security is the state of children and adolescents protection, in which there is no risk associated with harm to their health and (or) physical, mental, spiritual, moral development from destructive information. This article describes the development of new software product that allows analyzing text from files, Web sites, pages, applications, etc. Analog programs were reviewed; modern text recognition algorithms were described. Screenshots and flowchart of software parts designed functioning for semantic text analysis in Web space are presented. Any Web page is file with extension, and after analyzing, it is possible to evaluate the information and classify it by topics, as well as to determine whether there is destructive content. In the presented study, the software tool was developed for semantic analysis and formalization of text. Exact trigger points from 26 to 30 times evaluate the algorithm functioning. With accuracy of up to 80%, it can be argued that algorithm is suitable for determining the orientation of article and content of ideas expressed in it, taking into account duality of model.

Rainbow - multiway semantic analysis of Web sites

2004 ◽  
Author(s):  
V. Svatek ◽  
J. Kosek ◽  
M. Labsky ◽  
J. Braza ◽  
M. Kavalec ◽  
...  
Keyword(s):  
Web Sites ◽  
Semantic Analysis

Ontology-Based Analysis of Website Structure for Benchmarking in Retail Business

2021 ◽  
Vol 13 (1) ◽  
pp. 1-19
Author(s):  
Nikola Vlahovic ◽  
Andrija Brljak ◽  
Mirjana Pejic-Bach
Keyword(s):  
Language Processing ◽  
Web Sites ◽  
Information Acquisition ◽  
Semantic Analysis ◽  
Semantic Networks ◽  
Digital Transformation ◽  
Information Organization ◽  
Web Content ◽  
Retail Business ◽  
Information Retrieval Methods

With the growing trend of digital transformation, electronic business has become a crucial part of business operations for many companies. Some of the most critical steps in successful transformation pertain not only to data and information acquisition and digitalization but also to adequate publishing and organization of these information resources. Companies share information through their websites, so the structuring of the web content becomes critical during the digital transformation of business. In this paper, the authors present a conceptual model of the managerial tool that is based on semantic analysis of web sites in order to obtain information about the structure of web sites in a particular domain. The resulting ontological model contains information about best practices in web information organization and can be a valuable resource for management when deciding on the organization of their own web content. The system is based on grounded theory and uses current information retrieval methods, natural language processing, semantic networks, and ontologies.

Sign in / Sign up

Export Citation Format

Share Document