Automatic Identification of Home Pages on the Web

2005 ◽  
Author(s):  
A. Kennedy ◽  
M. Shepherd
Keyword(s):  
Automatic Identification ◽  
Home Pages ◽  
The Web

scholarly journals Automatic Identification of Harmful, Aggressive, Abusive, and Offensive Language on the Web: A Survey of Technical Biases Informed by Psychology Literature

2021 ◽  
Vol 4 (3) ◽  
pp. 1-56
Author(s):  
Agathe Balayn ◽  
Jie Yang ◽  
Zoltan Szlavik ◽  
Alessandro Bozzon
Keyword(s):  
Computer Science ◽  
State Of The Art ◽  
Automatic Detection ◽  
Automatic Identification ◽  
Machine Learning Classification ◽  
Detection Systems ◽  
Science Community ◽  
Psychology Literature ◽  
Offensive Language ◽  
The Web

The automatic detection of conflictual languages (harmful, aggressive, abusive, and offensive languages) is essential to provide a healthy conversation environment on the Web. To design and develop detection systems that are capable of achieving satisfactory performance, a thorough understanding of the nature and properties of the targeted type of conflictual language is of great importance. The scientific communities investigating human psychology and social behavior have studied these languages in details, but their insights have only partially reached the computer science community. In this survey, we aim both at systematically characterizing the conceptual properties of online conflictual languages, and at investigating the extent to which they are reflected in state-of-the-art automatic detection systems. Through an analysis of psychology literature, we provide a reconciled taxonomy that denotes the ensemble of conflictual languages typically studied in computer science. We then characterize the conceptual mismatches that can be observed in the main semantic and contextual properties of these languages and their treatment in computer science works; and systematically uncover resulting technical biases in the design of machine learning classification models and the dataset created for their training. Finally, we discuss diverse research opportunities for the computer science community and reflect on broader technical and structural issues.

scholarly journals An Architecture for Animal Sound Identification based on Multiple Feature Extraction and Classification Algorithms

2020 ◽  
Author(s):  
Leandro Tacioli ◽  
Luíz Toledo ◽  
Claudua Medeiros
Keyword(s):  
Feature Extraction ◽  
Software Architecture ◽  
Animal Species ◽  
Recognition System ◽  
Automatic Identification ◽  
Classification Algorithms ◽  
Ecological Communities ◽  
Audio Features ◽  
Multiple Feature ◽  
The Web

Automatic identification of animals is extremely useful for scientists, providing ways to monitor species and changes in ecological communities. The choice of effective audio features and classification techniques is a challenge on any audio recognition system, especially in bioacoustics that commonly uses several algorithms. This paper presents a novel software architecture that supports multiple feature extraction and classification algorithms to help on the identification of animal species from their recorded sounds. This architecture was implemented by the WASIS software, freely available on the Web.

scholarly journals Automatic Identification of Equivalence of Concepts in Different Languages for Never-Ending Learning

2018 ◽  
Author(s):  
Silvio C. Marino ◽  
Estevam R. Hruschka Junior
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Language Learning ◽  
Automatic Identification ◽  
Significant Gain ◽  
String Similarity ◽  
The Web

This paper describes the process of automatic identification of concepts in different languages using a base that relies on simple semantic and morphosyntactic characteristics like string similarity, difference in words amount and translation position on dictionary (when exists) and a neural network that has been used as a model of machine learning. All experiments use data that was obtained from a few categories of Read The Web (RTW) project and an endless learning computation system called NELL: Never-Ending Language Learning. The results were compared with dictionary and showed that the introduction of neural network brought a significant gain in the process of equivalence of concepts.

MARKETING TOOL “ZORGE” AND ITS USE IN ELECTRONIC COMMERCE

2019 ◽  
pp. 66
Author(s):  
Anna Nikolajeva
Keyword(s):  
Marketing Strategy ◽  
Web Application ◽  
Web Applications ◽  
Digital Marketing ◽  
Computing Technology ◽  
Home Pages ◽  
Marketing Technology ◽  
Application Architecture ◽  
Marketing Tool ◽  
The Web

The aim of the research was to develop a marketing strategy of the Zorge marketing tool and describe its usage in e-commerce. Zorge web application will be an automatic marketing tool that will use cloud computing technology. The main benefits of the tool will be its multiuse and ability to display adverts to users who use ad blockers and create an interaction of all ads, allowing users to show relevant advertising to their website visitors. Zorge web application will be used for advert construction - pop-ups, push notifications and inner website banners, that can be placed on a clients website. It can be done by pasting short JavaScript code in their website HTML file after users will be able to manage their adverts inside their Zorge web application. The author examined several topics to develop the web application architecture - digital marketing technology current developments, competitor home pages, competitor web applications and an economic embodiment were explored. Within the research was developed a marketing strategy for the Zorge web application.

Protecting privacy on the web

2018 ◽  
Vol 42 (6) ◽  
pp. 734-751 ◽  
Author(s):  
Patrick O’Brien ◽  
Scott W.H. Young ◽  
Kenning Arlitsch ◽  
Karl Benedict
Keyword(s):  
Informed Consent ◽  
Privacy Protection ◽  
Design Methodology ◽  
Academic Library ◽  
Third Party ◽  
Home Pages ◽  
Content Type ◽  
Library Websites ◽  
Practical Implications ◽  
The Web

Purpose The purpose of this paper is to examine the extent to which HTTPS encryption and Google Analytics services have been implemented on academic library websites, and discuss the privacy implications of free services that introduce web tracking of users. Design/methodology/approach The home pages of 279 academic libraries were analyzed for the presence of HTTPS, Google Analytics services and privacy-protection features. Findings Results indicate that HTTPS implementation on library websites is not widespread, and many libraries continue to offer non-secured connections without an automatically enforced redirect to a secure connection. Furthermore, a large majority of library websites included in the study have implemented Google Analytics and/or Google Tag Manager, yet only very few connect securely to Google via HTTPS or have implemented Google Analytics IP anonymization. Practical implications Librarians are encouraged to increase awareness of this issue and take concerted and coherent action across five interrelated areas: implementing secure web protocols (HTTPS), user education, privacy policies, informed consent and risk/benefit analyses. Originality/value Third-party tracking of users is prevalent across the web, and yet few studies demonstrate its extent and consequences for academic library websites.

scholarly journals Scientific Home Pages on the World Wide Web

1996 ◽  
Vol 6 (3) ◽  
pp. 263-265
Author(s):  
Gary W. Lightner
Keyword(s):  
World Wide Web ◽  
World Wide ◽  
Home Page ◽  
Home Pages ◽  
The World ◽  
The Web

As the World Wide Web increases in popularity, it has become easier to create and maintain home pages on the network. How this is accomplished is as varied as those using the web. The possibilities for scientific sites create questions for the research page editor. This paper provides a nontechnical discussion of why and how to create a scientific home page. Universal Resource Locators are given for home pages that may benefit the reader.

scholarly journals Developing an automatic identification and early warning and monitoring web based system of fall army worm based on machine learning in developing countries

2019 ◽  
Vol 3 (1) ◽  
pp. 13-20
Author(s):  
Francis Chulu ◽  
Jackson Phiri ◽  
Mayumbo Nyirenda ◽  
Monica M. Kabemba ◽  
Phillip Nkunika ◽  
...  
Keyword(s):  
Machine Learning ◽  
Data Collection ◽  
Negative Impact ◽  
Automatic Identification ◽  
Web Based ◽  
Collection Process ◽  
Data Collection Process ◽  
World Food Security ◽  
Army Worm ◽  
The Web

To combat the fall Army worm (FAW-Spodoptera frugiperda) pest which has a negative impact on world food security, there is need to come up with methods that can be used alongside conventional methods of spraying. Therefore this paper proposes a machine learning based system for automatic identification and monitoring of Fall Army worm Moths. The system will aim to address challenges that are associated with trap based FAW monitoring such as manual data collection as the system will automate the data collection process. The study will aim to automate the data collection process by developing a machine learning algorithm for FAW moth identification. The study will develop web and mobile applications integrated with Geographic information system (GIS) technology in addition to trap automation. The tools developed in this study will aim to improve the accuracy and efficiency of FAW monitoring by reducing the aspect of human intervention. At the time of writing this paper, only the web based tool prototype has been developed, therefore this paper mostly focuses on the design of the web based tool. The paper also provides a brief quantification of the chosen machine learning technique to be used in the study.

Academic home pages: Reconstruction of the self

First Monday ◽  
2005 ◽  
Author(s):  
Lesley Thoms ◽  
Mike Thelwall
Keyword(s):  
Discourse Analysis ◽  
Identity Construction ◽  
Web Sites ◽  
Previous Literature ◽  
The Self ◽  
The Internet ◽  
Home Pages ◽  
The Individual ◽  
The University ◽  
The Web

Previous literature within the postmodern movement typically finds the Internet to be a tool for surveillance and restriction. This is particularly identified in the personal homepages of academics, where the university is considered to marginalise staff through the coercive governing of their identity construction. Using a Foucauldian framework in which to analyse twenty academic homepages, this study looks specifically at identity construction on the Internet via the differences of link inclusion between academics whose homepages have been university–constructed and those whose homepages have been self–constructed, both dependent and independent of the university site. A Foucauldian discourse analysis identifies the marginalisation of academics in all conditions, wherein discursive positions were typically those of disempowerment. A typology of homepages and hence identities of academics is proposed based on the Web sites examined, concluding that whether the homepage is constructed by the academic or by the university, the identities of the individual are ultimately lost to the governmentality of the university.

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