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Open AccessArticle
6 Pages, 737 KB Download PDF

Sentiment Analysis of Transjakarta Based on Twitter using Convolutional Neural Network

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 5, Page # 281–286, 2021; DOI: 10.25046/aj040535
Abstract:

TransJakarta is one of the methods to reduce congestion in Jakarta. However, the number of TransJakarta users compared to number of private vehicle users is very small, only 24% of the total population in Jakarta. The purpose of this research is to know public opinions about TransJakarta whether positive or negative by doing sentiment analysis…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
7 Pages, 977 KB Download PDF

Sentiment Analysis on Twitter for Predicting Stock Exchange Movement

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 3, Page # 244–250, 2019; DOI: 10.25046/aj040332
Abstract:

This paper is proposed to build a model by applying two methods, namely support vector machine and nonnegative matrix factorization in the process of predicting stock market movement using twitter and historical data. The stock exchange is based on the LQ 45 stock with period from August 2018 – January 2019. The features consist of…

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(This article belongs to Section Cybernetics in Computer Science (CCY))
Open AccessArticle
7 Pages, 628 KB Download PDF

A Survey of Text Mining in Social Media: Facebook and Twitter Perspectives

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 1, Page # 127–133, 2017; DOI: 10.25046/aj020115
Abstract:

Text mining has become one of the trendy fields that has been incorporated in several research fields such as computational linguistics, Information Retrieval (IR) and data mining. Natural Language Processing (NLP) techniques were used to extract knowledge from the textual text that is written by human beings. Text mining reads an unstructured form of data…

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(This article belongs to the SP2 (Special Issue on Computer Systems, Information Technology, Electrical and Electronics Engineering 2017) & Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
8 Pages, 964 KB Download PDF

Recognition of Emotion from Emoticon with Text in Microblog Using LSTM

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 3, Page # 347–354, 2021; DOI: 10.25046/aj060340
Abstract:

With the advent of internet technology and social media, patterns of social communication in daily lives have changed whereby people use different social networking platforms. Microblog is a new platform for sharing opinions by means of emblematic expressions, which has become a resource for research on emotion analysis. Recognition of emotion from microblogs (REM) is…

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(This article belongs to the SP11 (Special Issue on Innovation in Computing, Engineering Science & Technology 2021) & Section Information Systems in Computer Science (CIS))
Open AccessArticle
8 Pages, 633 KB Download PDF

Text Mining Techniques for Cyberbullying Detection: State of the Art

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 1, Page # 783–790, 2021; DOI: 10.25046/aj060187
Abstract:

The dramatic growth of social media during the last years has been associated with the emergence of a new bullying types. Platforms such as Facebook, Twitter, YouTube, and others are now privileged ways to disseminate all kinds of information. Indeed, communicating through social media without revealing the real identity has emerged an ideal atmosphere for…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
12 Pages, 799 KB Download PDF

Implementation of a Journalist Business Intelligence in Social Media Monitoring System

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 6, Page # 1517–1528, 2020; DOI: 10.25046/aj0506182
Abstract:

The need to update the news at this time is very important. Journalists have responsibilities as their job. Apart from conveying the correct news to the public, they must also deliver it quickly. Journalists who are tasked as news seekers must always be updated about the latest news that is viral, therefore a journalist must…

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(This article belongs to Section Information Systems in Computer Science (CIS))
Open AccessArticle
4 Pages, 680 KB Download PDF

Polarity Switch within Social Networks

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 6, Page # 817–820, 2020; DOI: 10.25046/aj050697
Abstract:

It is the age of information. Social networks are the main reason why, following the increasing activity of online users. With this comes a big impact on the real world, it can be positive and highly negative as well. Therefore, research in this field is highly needed for the betterment of societal behaviors within social…

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(This article belongs to Section Information Systems in Computer Science (CIS))
Open AccessArticle
6 Pages, 973 KB Download PDF

Sentiment Analysis on Utilizing Online Transportation of Indonesian Customers Using Tweets in the Normal Era and the Pandemic Covid-19 Era with Support Vector Machine

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 5, Page # 389–394, 2020; DOI: 10.25046/aj050549
Abstract:

Online transportation in Indonesia is a new trend of transportation that is currently used among the lower to upper society. The change in behavior began in 2011 and is growing to this day, The comments that are growing on social media are very important for the online transportation company the negative comments lower the level…

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(This article belongs to Section Information Systems in Computer Science (CIS))
Open AccessArticle
7 Pages, 911 KB Download PDF

Exploring the Performance Characteristics of the Naïve Bayes Classifier in the Sentiment Analysis of an Airline’s Social Media Data

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 4, Page # 266–272, 2020; DOI: 10.25046/aj050433
Abstract:

Airline operators get much feedback from their customers which are vital for both operational and strategic planning. Social media has become one of the most popular platforms for obtaining such feedback. However, to analyze, categorize, and generate useful insight from the huge quantity of data on social media is not a trivial task. This study…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
9 Pages, 1,042 KB Download PDF

Detection the Places of the Heat Energy Leak on the Underground Thermal Pipelines Using the Computer System

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 3, Page # 01–09, 2019; DOI: 10.25046/aj040301
Abstract:

The purpose of this paper is to improve the thermographic method for detection the places of heat energy losses on the urban underground thermal pipelines using the computer system. This goal was achieved by building a heat map of the surveyed heating main with data layering directly on a computer map of the area, which…

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(This article belongs to the SP7 (Special Issue on Advancement in Engineering and Computer Science 2019) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
6 Pages, 1,196 KB Download PDF

Talk Show’s Business Intelligence on Television by Using Social Media Data in Indonesia

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 1, Page # 311–316, 2019; DOI: 10.25046/aj040130
Abstract:

Knowing how and types of talk shows discussed in social media is significant to all stakeholders in a talk show’s program. There are many messages that can be found in social media that need to be noticed so the messages from the user could reach the viewer. Social media provides promising as well as challenging…

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(This article belongs to the SP6 (Special Issue on Recent Advances in Engineering Systems 2018-19) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
9 Pages, 884 KB Download PDF

Automated Text Annotation for Social Media Data during Natural Disasters

Advances in Science, Technology and Engineering Systems Journal, Volume 3, Issue 2, Page # 119–127, 2018; DOI: 10.25046/aj030214
Abstract:

Nowadays, text annotation plays an important role within real-time social media mining. Social media analysis provides actionable information to its users in times of natural disasters. This paper presents an approach to a real-time two layer text annotation system for social media stream to the domain of natural disasters. The proposed system annotates raw tweets…

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(This article belongs to the SP4 (Special issue on Advancement in Engineering Technology 2017-18) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
7 Pages, 1,258 KB Download PDF

A security approach based on honeypots: Protecting Online Social network from malicious profiles

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 3, Page # 198–204, 2017; DOI: 10.25046/aj020326
Abstract:

In the recent years, the fast development and the exponential utilization of social networks have prompted an expansion of social Computing. In social networks users are interconnected by edges or links, where Facebook, twitter, LinkedIn are most popular social networks websites. Due to the growing popularity of these sites they serve as a target for…

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(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Interdisciplinary Applications of Computer Science (CSI))

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