scholarly journals PEMILAHAN ARTIKEL BERITA DENGAN TEXT MINING

CCIT Journal ◽  
2012 ◽  
Vol 5 (2) ◽  
pp. 168-185
Author(s):  
Agustoni Agustoni ◽  
Fitri Maya Sari
Keyword(s):  
Text Mining ◽  
Rapid Development ◽  
Online News ◽  
News Article ◽  
News Sources ◽  
Doing Business ◽  
News Service ◽  
Wide Range ◽  
On Line

With the rapid development of Internet, more and more also emerging sites or blogs that provide a wide range of online news articles. An article, before it can be published, originally sent by the reporter to editor to be sorted. Sorting type of news is relatively easily done by humans, but if the case was brought to a level of segregation in automation with computers will bring its own problems, although for a shorter story. Text mining is one way that is expected to solve the above problems. With text mining, can be searched words that can represent the content of news articles, then its category is determined based on the frequency of words contained in it. Stage by the author on the study are: (i) development of a database for the keyword vector, (ii) sorting of news sources based on the database of step (i). This paper is expected to help the electronic editorial system to be able to sort or find out the category of a news article without the need of an editor that saves time and cost of doing business on the model of an electronic news service on-line internet based.

scholarly journals NewsFinder: Automating an AI News Service

AI Magazine ◽  
2012 ◽  
Vol 33 (2) ◽  
pp. 43
Author(s):  
Joshua Eckroth ◽  
Liang Dong ◽  
Reid G. Smith ◽  
Bruce G. Buchanan
Keyword(s):  
Artificial Intelligence ◽  
Online News ◽  
Intelligence Community ◽  
News Stories ◽  
News Sources ◽  
Relevance Criteria ◽  
News Service

NewsFinder automates the steps involved in finding, selecting, categorizing, and publishing news stories that meet relevance criteria for the Artificial Intelligence community. The software combines a broad search of online news sources with topic-specific trained models and heuristics. Since August 2010, the program has been used to operate the AI in the News service that is part of the AAAI AITopics website.

A content-based technique for linking dual language news articles in an archive

2020 ◽  
pp. 016555152093761 ◽  
Author(s):  
Muzammil Khan ◽  
Arif Ur Rahman ◽  
Arshad Ahmad ◽  
Sarwar Shah Khan
Keyword(s):  
Similarity Measure ◽  
Dual Language ◽  
Online News ◽  
News Article ◽  
Data Sets ◽  
Multiple Sources ◽  
News Sources ◽  
User Query ◽  
Digital News ◽  
Lexical Similarity

To retrieve a specific news article from a vast archive containing multilingual news articles against a user query or based on similarity among news articles is a challenging task. The task becomes even further complicated when the archive contains articles from a low resourced and morphologically complex language like Urdu, along with English new articles. The article proposes a content-based (lexical) similarity measure, that is, Common Ratio Measure for Dual Language (CRMDL), for linking digital news articles published in various online news sources. The similarity measure links Urdu-to-English news articles during the preservation process using an Urdu-to-English lexicon. A literature review showed that an Urdu-to-English lexicon did not exist, and therefore, the first task was to build a lexicon from multiple sources. The proposed similarity measure, that is, CRMDL, is evaluated rigorously on different data sets, of varying sizes, to assess the effectiveness. The experimental results show that the proposed measure is feasible and effective for similarity computation between Urdu and English news articles, which can obtain, on average, 50% precision and 67% recall. The performance can be improved sufficiently by managing the limitations summarised in the study.

scholarly journals Automatic Representative News Generation using On-Line Clustering

2013 ◽  
Vol 1 (1) ◽  
Author(s):  
Marlisa Sigita ◽  
Ali Ridho Barakbah ◽  
Entin Martiana Kusumaningtyas ◽  
Idris Winarno
Keyword(s):  
Experimental Study ◽  
Text Mining ◽  
Large Volume ◽  
Euclidean Distance ◽  
Online News ◽  
Keyword Extraction ◽  
On Line ◽  
Bahasa Indonesia ◽  
New System

The increasing number of online news provider has produced large volume of news every day. The large volume can bring drawback in consuming information efficiently because some news contain similar contents but they have different titles that may appear. This paper presents a new system for automatically generating representative news using on-line clustering. The system allows the clustering to be dynamic with the features of centroid update and new cluster creation. Text mining is implemented to extract the news contents. The representative news is obtained from the closest distance to each centroid that calculated using Euclidean distance. For experimental study, we implement our system to 460 news in Bahasa Indonesia. The experiment performed 70.9% of precision ratio. The error is mainly caused by imprecise results from keyword extraction that generates only one or two keywords for an article. The distribution of centroid’s keywords also affects the clustering results.Keywords: News Representation, On-line Clustering, Keyword Aggregation, Text Mining.

Recent Progress and Plans in Computer-Controlled High Resolution Electron Microscopy

1990 ◽  
Vol 48 (1) ◽  
pp. 154-155
Author(s):  
W.J. de Ruijter ◽  
Peter Rez ◽  
David J. Smith
Keyword(s):  
Electron Microscopy ◽  
Digital Processing ◽  
High Resolution Electron Microscopy ◽  
Objective Lens ◽  
Linear Filter ◽  
Contrast Transfer Function ◽  
Image Displacement ◽  
Spatially Resolved ◽  
Wide Range ◽  
On Line

Digital computers are becoming widely recognized as standard accessories for electron microscopy. Due to instrumental innovations the emphasis in digital processing is shifting from off-line manipulation of electron micrographs to on-line image acquisition, analysis and microscope control. An on-line computer leads to better utilization of the instrument and, moreover, the flexibility of software control creates the possibility of a wide range of novel experiments, for example, based on temporal and spatially resolved acquisition of images or microdiffraction patterns. The instrumental resolution in electron microscopy is often restricted by a combination of specimen movement, radiation damage and improper microscope adjustment (where the settings of focus, objective lens stigmatism and especially beam alignment are most critical). We are investigating the possibility of proper microscope alignment based on computer induced tilt of the electron beam. Image details corresponding to specimen spacings larger than ∼20Å are produced mainly through amplitude contrast; an analysis based on geometric optics indicates that beam tilt causes a simple image displacement. Higher resolution detail is characterized by wave propagation through the optical system of the microscope and we find that beam tilt results in a dispersive image displacement, i.e. the displacement varies with spacing. This approach is valid for weak phase objects (such as amorphous thin films), where transfer is simply described by a linear filter (phase contrast transfer function) and for crystalline materials, where imaging is described in terms of dynamical scattering and non-linear imaging theory. In both cases beam tilt introduces image artefacts.

Opportunities for Qualitative Analysis of Social Media Platforms in Dietetic Research and Practice

2020 ◽  
pp. 1-5
Author(s):  
Meghan Lynch ◽  
Irena Knezevic ◽  
Kennedy Laborde Ryan
Keyword(s):  
Social Media ◽  
Low Cost ◽  
Online News ◽  
News Article ◽  
Discussion Forums ◽  
Research And Practice ◽  
The Public ◽  
Related Data ◽  
Social Media Platforms ◽  
Article Comment

To date, most qualitative knowledge about individual eating patterns and the food environment has been derived from traditional data collection methods, such as interviews, focus groups, and observations. However, there currently exists a large source of nutrition-related data in social media discussions that have the potential to provide opportunities to improve dietetic research and practice. Qualitative social media discussion analysis offers a new tool for dietetic researchers and practitioners to gather insights into how the public discusses various nutrition-related topics. We first consider how social media discussion data come with significant advantages including low-cost access to timely ways to gather insights from the public, while also cautioning that social media data have limitations (e.g., difficulty verifying demographic information). We then outline 3 types of social media discussion platforms in particular: (i) online news article comment sections, (ii) food and nutrition blogs, and (iii) discussion forums. We discuss how each different type of social media offers unique insights and provide a specific example from our own research using each platform. We contend that social media discussions can contribute positively to dietetic research and practice.

Mobile to Fuel Explosive Ecommerce Growthin india

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Priya Yadav ◽  
Pranjeet Das ◽  
Ravi Kumar Malhotra
Keyword(s):  
Developing Countries ◽  
Electronic Commerce ◽  
Rapid Development ◽  
Global Markets ◽  
Network Technology ◽  
Mobile Terminals ◽  
Doing Business ◽  
Is Security ◽  
Challenges And Opportunities ◽  
Made In

E-commerce is process of doing business through computer networks. Advances in wireless network technology and the continuously increasing number of users of mobile latter on make an ideal platform for offering various high utilityservices in just a snap of a finger to the mobile users and give pace to the rapid development of E-Commerce in India.E-commerce is considered an excellent alternative for companies to reach new customersbut the fact that has hindered the growth of e-commerce is security. Security is the challenge facing e-commerce today and there is still a lot of advancement made in the field of securityfor increasing the use of e-commerce in developing countries the B2B e-commerce is implemented for improving access to global markets for firms in developing countries. With the special characteristics and constraints of mobile terminals and wireless networks and the context, situations and circumstances that people use their hand-held terminalswhich will ultimately fuel explosive ecommerce growth in India This paper highlights the various key challenges and opportunities which Indian e-commerce industry may face in the upcoming years. And also discuss challenges in electronic commerce transactions.

A Wide Range Ge Gamma-Ray Spectrometer for on-Line Measurements of Reactor Cooling Water Activity

1977 ◽  
Vol 24 (1) ◽  
pp. 673-677 ◽  
Author(s):  
J. J. Lipsett ◽  
I. L. Fowler ◽  
R. J. Dinger ◽  
H. L. Malm
Keyword(s):  
Water Activity ◽  
Gamma Ray ◽  
Cooling Water ◽  
Gamma Ray Spectrometer ◽  
Wide Range ◽  
On Line

scholarly journals Perceptions and Attitudes towards Mules in a Group of Sodiers

Animals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 1009
Author(s):  
Javiera Lagos ◽  
Manuel Rojas ◽  
Joao B. Rodrigues ◽  
Tamara Tadich
Keyword(s):  
Text Mining ◽  
Pain Perception ◽  
Health Needs ◽  
Emotional Needs ◽  
Mountainous Areas ◽  
Working Capacity ◽  
Perceptions And Attitudes ◽  
Wide Range ◽  
Positive Correlations ◽  
Word Attention

Mules are essential for pack work in mountainous areas, but there is a lack of research on this species. This study intends to assess the perceptions, attitudes, empathy and pain perception of soldiers about mules, to understand the type of human–mule relationship. For this, a survey was applied with closed-ended questions where the empathy and pain perception tools were included and later analyzed through correlations. Open-ended questions were analyzed through text mining. A total of 73 soldiers were surveyed. They had a wide range of ages and years of experience working with equids. Significant positive correlations were found between human empathy, animal empathy and pain perception. Soldiers show a preference for working with mules over donkeys and horses. Text mining analysis shows three clusters associated with the mules’ nutritional, environmental and health needs. In the same line, relevant relations were found for the word “attention” with “load”, “food”, and “harness”. When asked what mules signify for them, two clusters were found, associated with mules’ working capacity and their role in the army. Relevant relations were found between the terms “mountain”, “support”, and “logistics”, and also between “intelligent” and “noble”. To secure mules’ behavioral and emotional needs, future training strategies should include behavior and welfare concepts.

scholarly journals Advanced Functional Materials Based on Nanocellulose for Pharmaceutical/Medical Applications

Pharmaceutics ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1125
Author(s):  
Raluca Nicu ◽  
Florin Ciolacu ◽  
Diana E. Ciolacu
Keyword(s):  
Rapid Development ◽  
Cellulose Nanofibrils ◽  
Functional Materials ◽  
Medical Applications ◽  
Bacterial Nanocellulose ◽  
Green Materials ◽  
Wide Range ◽  
In Vivo Cytotoxicity

Nanocelluloses (NCs), with their remarkable characteristics, have proven to be one of the most promising “green” materials of our times and have received special attention from researchers in nanomaterials. A diversity of new functional materials with a wide range of biomedical applications has been designed based on the most desirable properties of NCs, such as biocompatibility, biodegradability, and their special physicochemical properties. In this context and under the pressure of rapid development of this field, it is imperative to synthesize the successes and the new requirements in a comprehensive review. The first part of this work provides a brief review of the characteristics of the NCs (cellulose nanocrystals—CNC, cellulose nanofibrils—CNF, and bacterial nanocellulose—BNC), as well as of the main functional materials based on NCs (hydrogels, nanogels, and nanocomposites). The second part presents an extensive review of research over the past five years on promising pharmaceutical and medical applications of nanocellulose-based materials, which have been discussed in three important areas: drug-delivery systems, materials for wound-healing applications, as well as tissue engineering. Finally, an in-depth assessment of the in vitro and in vivo cytotoxicity of NCs-based materials, as well as the challenges related to their biodegradability, is performed.

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