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.

scholarly journals Scuba Diving Experience and Sustainability: An Assessment of Online Travel Reviews

2018 ◽  
Vol 9 ◽  
pp. 43-52 ◽  
Author(s):  
Peunjodi Naidoo ◽  
Prabha Ramseook-Munhurrun ◽  
Jing Li
Keyword(s):  
Text Analysis ◽  
Physical Environment ◽  
Scuba Diving ◽  
Tourism Industry ◽  
Small Island ◽  
Analysis Software ◽  
Unsupervised Analysis ◽  
Online Travel Reviews ◽  
Tourism And Hospitality ◽  
Online Travel

Scuba diving is a popular activity in small island destinations which is on the rise. However, it is particularly important to preserve the physical environment for small island developing states due to their unique biodiversity and fragile ecosystems. Scuba diving tourism in island destinations is provided mainly by dive operators who are responsible to deliver the scuba diving experience to tourists. However, despite the importance of sustainability for the tourism industry, it is unclear to which extent the marine environment or green issues are important for consumers. Studies are increasingly suggesting that sustainability is an important feature considered by consumers. However, information is sparse regarding the extent to which sustainability is a key component for customers when evaluating the scuba diving experience. In this study, 3109 text reviews from the Trip Advisor website across all 57 listed diving operators in Mauritius were selected for data analysis. Th e present study uses Leximancer, a text analysis software that conducts unsupervised analysis of natural language texts provided in an electronic format.The Gaze: Journal of Tourism and Hospitality Vol.9 2018 p.43-52

scholarly journals A quantitative analysis software tool for mass spectrometry–based proteomics

2008 ◽  
Vol 5 (4) ◽  
pp. 319-322 ◽  
Author(s):  
Sung Kyu Park ◽  
John D Venable ◽  
Tao Xu ◽  
John R Yates
Keyword(s):  
Mass Spectrometry ◽  
Quantitative Analysis ◽  
Software Tool ◽  
Analysis Software

scholarly journals Classification of digital stitch lines in machine embroidery

2021 ◽  
Vol 72 (05) ◽  
pp. 538-544
Author(s):  
DANIELA SOFRONOVA ◽  
RADOSTINA A. ANGELOVA
Keyword(s):  
Web Sites ◽  
High Tech ◽  
Apparel Design ◽  
Systematic Classification ◽  
Software Products ◽  
Software Product ◽  
Textile And Apparel ◽  
Large Application ◽  
The Web

Despite the large application of the machine embroidery in textile and apparel design and high-tech clothing items, there is а lack of systematic arrangement of the digital stitch lines, used by embroidery machines and embroidery designers. Since 2010 information on embroidery stitch lines could be mostly found in the web sites of the embroidery machine manufacturers and software product manuals. However, in the instruction manuals the instruments for creating various embroidery objects are simply described without providing systematic information on the types of the stitch lines. Even more, different names of the stitch lines and different ways to achieve the same design are observed. Single authors offer their own classifications based entirely and logically on the stitches of the hand embroidery. Another group of authors relied on already developed techniques and strategies for digitizing stitches in various software products or took into account the final appearance of the stitch lines or their application. Our study aimed to develop a detailed and systematic classification of the digital stitch lines in the machine embroidery, which has not been presented in the literature.

scholarly journals Determining the proximity of groups in social networks based on text analysis using big data

2019 ◽  
pp. 521-526
Author(s):  
A S Mukhin ◽  
I A Rytsarev ◽  
R A Paringer ◽  
A V Kupriyanov ◽  
D V Kirsh
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Social Network ◽  
Data Collection ◽  
Text Analysis ◽  
Software Tool ◽  
Text Data ◽  
The Social ◽  
Information Research ◽  
Definition Of

The article is devoted to the definition of such groups in social networks. The object of the study was selected data social network Vk. Text data was collected, processed and analyzed. To solve the problem of obtaining the necessary information, research was conducted in the field of optimization of data collection of the social network Vk. A software tool that provides the collection and subsequent processing of the necessary data from the specified resources has been developed. The existing algorithms of text analysis, mainly of large volume, were investigated and applied.

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 A posthumanist pedagogy using digital text analysis to enhance critical thinking in higher education

2019 ◽  
Vol 35 (4) ◽  
pp. 845-880
Author(s):  
Kieran O'Halloran
Keyword(s):  
Higher Education ◽  
Critical Thinking ◽  
Text Analysis ◽  
Status Quo ◽  
Analysis Software ◽  
Education Students ◽  
Digital Text ◽  
The Status ◽  
Project Assignment ◽  
Independent Thinking

Abstract I model a critical posthumanist pedagogy that uses text analysis software and is aimed at higher education students. A key purpose of the pedagogy is to help students enhance empathetic, critical and independent thinking. For their project assignment, the student chooses an unfamiliar campaign seeking to eliminate suffering and extend rights. They gather all texts from the campaign website into a corpus, which thus represents the campaign writ large. Then they use appropriate software to ascertain, efficiently and rigorously, common campaign concerns across this corpus. This puts students in a position to discern any significant concerns in the campaign corpus that are not addressed in text(s) supporting the status quo which the campaign opposes. Should significant omissions be found, students critically evaluate the status quo text(s) from the campaign’s perspective. Since this perspective derives from the student identifying (at least temporarily) with software generated data, it is a posthuman subjectivity. Engaging digitally and empathetically with a campaign’s data at scale for creation of a posthuman subjectivity can broaden awareness of disadvantage, discrimination, and suffering as well as expand horizons. Moreover, at the end of the assignment, the student is expected to formulate their own position vis-à-vis the previously unfamiliar campaign. Conditions have been created then for the student to enhance independent thinking too.

Web Sites for Senior Citizens

2011 ◽  
pp. 1635-1641
Author(s):  
G. Taddeo
Keyword(s):  
New Media ◽  
Web Sites ◽  
Service Industry ◽  
Knowledge Generation ◽  
Symbolic Communication ◽  
Cultural Codes ◽  
The Social ◽  
Material Economy ◽  
Communication Practices ◽  
Generation Information

In the information era, the main source of productivity lies in the technology of knowledge generation, information processing, and symbolic communication (Castells, 1996; Van Dijk, 1999). As Rifkin (2000) observed, it raises a service industry that substitutes the material economy, and the wealth relations are decided in the arena of the access and correct exploitation of these services. For sociological scientists, the biggest challenge is to overcome the classical sociological concepts of knowledge gaps (Tichenor, Donohue, & Olien, 1970) and the digital divide, often technologically determined, aiming at investigating the social and cultural problems that obstacle elderly people, housewives, and many other social groups in using the Internet and making it useful for daily life. We need to make the cultural codes available for using new media through remediation work (Bolter & Grusin, 1999) linking digital languages to the main communication practices and media languages.

Web Usage Mining Data Preparation

2011 ◽  
pp. 1226-1230
Author(s):  
Bamshad Mobasher
Keyword(s):  
Web Sites ◽  
Logical Structure ◽  
Web Usage Mining ◽  
User Interactions ◽  
Web Based ◽  
Web Resources ◽  
Web Usage ◽  
Lifetime Value ◽  
Automatic Discovery ◽  
Web Space

Web usage mining refers to the automatic discovery and analysis of patterns in clickstream and associated data collected or generated as a result of user interactions with Web resources on one or more Web sites. The goal of Web usage mining is to capture, model, and analyze the behavioral patterns and profiles of users interacting with a Web site. Analyzing such data can help these organizations determine the lifetime value of clients, design cross marketing strategies across products and services, evaluate the effectiveness of promotional campaigns, optimize the functionality of Web-based applications, provide more personalized content to visitors, and find the most effective logical structure for their Web space.

Sign in / Sign up

Export Citation Format

Share Document