scholarly journals Sarcasm in Sentiment Analysis of Indonesian Text: A Literature Review

2019 ◽  
Vol 13 (2) ◽  
pp. 54-59
Author(s):  
Sherly Christina
Keyword(s):  
Social Media ◽  
Literature Review ◽  
Sentiment Analysis ◽  
Classification Accuracy ◽  
Negative Polarity ◽  
Sentiment Classification ◽  
Detection Methods ◽  
The Internet ◽  
Online Groups ◽  
Internet Users

Social media, blogs and online groups become a forum that makes is easy for the Indonesian people to express their opinions, suggestions, complaints and even criticisms of a subject liberally. Sentiment analysis is a method for classifying positive, neutral, and negative polarity of the opinions that expressed by the internet users. Sarcasm is one of the challenges to classsifying the sentiments of an opinion. This research is a literature review to examine several studies to find out the methods for detecting sarcasm and to know the effect of sarcasm on the sentiment classification accuracy. The result of this literature review can be used as a reference for developing the sarcasm detection methods.

scholarly journals Sentiment Classification from Social Media for Stock Prediction with Data Mining

2020 ◽  
Vol 9 (5) ◽  
pp. 155-161
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Stock Price ◽  
Ensemble Methods ◽  
Economic Behavior ◽  
Sentiment Classification ◽  
Financial Decisions ◽  
Psychological Constructs ◽  
Public Sentiment ◽  
Internet Users

Social media currently plays an important role as a means of exchanging information. Through social media, information is obtained that can be used to see people's sentiments about a product or an event. Social media is a viable option to attract public sentiment through a method called sentiment analysis. The thing done is attracting sentiment from internet users through the posts made. In this way, sentiment data can be collected quickly and easily. Current economic behavior has proven that financial decisions are driven significantly by sentiment. The level of collective optimism or pessimism in society can influence investor decisions. Sentiment can also be interpreted as something that is felt by someone, both positive and negative. Sentiments and perceptions are psychological constructs and therefore difficult to measure in the analysis. This study focuses on sentiment analysis of information obtained from Twitter about stocks. For sentiment classification process ensemble methods of Naïve Bayes and SVM is used. Sentiment results are classified as positive or negative. We are expecting to see if there is connection between sentiment analysis from social media in predicting movement of IHSG stock price. As a result, we obtained strong correlation with coefficient of correlation r= 0.56609.

scholarly journals URGENCY RIJALUL POSTING IN PREVENTING HOAX: QURANIC PERSPECTIVE

2020 ◽  
Vol 5 (1) ◽  
pp. 38
Author(s):  
Doli Witro
Keyword(s):  
Social Media ◽  
Literature Review ◽  
The Internet ◽  
Internet Users ◽  
Internet Media

<p><em>Indonesian </em><em>Ministry of Communication and Information</em><em> </em><em>stated in 2017 that it had blocked 800 thousand harmful contents, including hoax (</em><em>fake </em><em>news). However, Masyarakat Telematika (Mastel)</em><em> </em><em>Indonesia reported the results of a survey</em><em> </em><em>in 2019</em><em> that</em><em> there were 34.60% of respondents received hoax</em><em> </em><em>every day. Hoaxes will have implications for harmony in society and are even very vulnerable to riots. </em><em>This study </em><em>u</em><em>s</em><em>es</em><em> a qualitative </em><em>method</em><em> with a literature review design</em><em> t</em><em>hat study the analogy </em><em>between hadith and posts</em><em> of Internet users that are both news or information. Hadith is information from the Prophet p.b.u.h., while posting is information that comes from Internet users. Based on this it is important to see the scholars of hadith in conveying, accepting the hadith, and including it in their respective books. To find out whether or not a hadith is correct, rawi examines sanad and matan</em><em> </em><em>hadith. In the hadith science, the study of the hadith discussed in the science of rijalul hadith. In rijalul, this post will be examined on how to explore the </em><em>content</em><em> </em><em>of </em><em>the Internet media. Of course, </em><em>this</em><em> is </em><em>in accordance with</em><em> the indicators</em><em> (</em><em>adl</em><em>, dhabit, </em><em>ittishal al-</em><em>sanad, </em><em>bighayr </em><em>illat, and </em><em>bighayr</em><em> syadz)</em><em> in the science of rijalul hadith, and the perspective of </em><em>Al-Quran</em><em> will be examined</em><em>.</em><em> </em><em>Rijalul Posting is divided into two; al-urwah date account (how to clarify posts by looking at the identity and account history) and al-jarh wa ta'dil content account (how to clarify posts). Indicators used: fair information, date of posting, clear source, complete, and polite language. Thus, these posts can be shared on websites or social media.</em></p>

scholarly journals Web Interaction based Business Sentiment Analysis using Benchmark Classifier

2020 ◽  
Vol 9 (4) ◽  
pp. 2244-2247
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Business Strategies ◽  
The Internet ◽  
Internet Users ◽  
New Business

Success of the business activities may showcase positive progress or developments of the country. These successes involve huge efforts with respect to analysis of the market, target customers, environment, availability of the resources and many more. Analysis would incur both the time and initial investment. Hence, most of the new business initiatives usually drop at the beginning stage. The proposed paper is trying to provide a solution to these cases by involving technological aspects and data from social media’s. Social media has provided a platform for the internet users to share their views and opinions on some of the components. These could be the resources to generate an analytical report for new or existing business strategies

A Literature Review On Anti Virus And Its Analysis

Think India ◽  
2019 ◽  
Vol 22 (2) ◽  
pp. 315-328
Author(s):  
Vishal Patel ◽  
Pravin H. Bhathawala
Keyword(s):  
Literature Review ◽  
Computer Systems ◽  
The Internet ◽  
Its Analysis ◽  
Internet Users ◽  
Online Consumers ◽  
Virus Attack

Anti Virus are nasty software’s. It is designed to damage computer systems without the knowledge of the owner using the system and technique advancements are posing big challenges for researchers in both academia and the industry. The purpose of this study is to examine the available literatures on Anti Virus analysis and to determine how research has evolved and advanced in terms of quantity, content and publication outlets. Most Anti Virus programs are large and complex and one can’t possibly understand every detail. Educating the internet users about Anti Virus attack, as well as the implementation and proper application of anti-Anti Virus tools, are critical steps in protecting the identities of online consumers against Anti Virus attacks.

MEDIA LITERASI BAGI DIGITAL NATIVES: PERSPEKTIF GENERASI Z DI JAKARTA

2018 ◽  
Vol 6 (1) ◽  
pp. 60
Author(s):  
Ranny Rastati
Keyword(s):  
Social Media ◽  
Media Literacy ◽  
Generation Y ◽  
Role Model ◽  
Digital Natives ◽  
The Internet ◽  
Positive Image ◽  
Generation Z ◽  
Internet Users ◽  
Depth Interview

In 2017 the majority of internet users are 19-34 years old or 49.52% (APJI, 2017). Almost half of the internet users in Indonesia are digital natives who were born after 1980: Generation Y (1980-1995) and Generation Z (1996-2009). This research will be focused on Generation Z as the true generation of the internet. Generation Z was born when the internet is available, a contrast to Generation Y who is still experiencing the transition of the internet. The purpose of this research is to find an effective way of providing information about media literacy to Generation Z. Through descriptive qualitative, the study was conducted with in-depth interview and observation toward 12 university students in Jakarta. The results showed that there are four effective ways of providing information about media literacy which is i) videos distributed to social media such as Youtube and Instagram, ii) interesting memes in communicative style, iii) through selebgram or micro-celebrity in Instagram who is consider as a role model and have a positive image, and iv) roadside billboards. Another interesting finding is that male informants tend to like media literacy information through videos and memes, while female informants prefer campaigns conducted by positive image selebgram and billboard. AbstrakPada tahun 2017 pengguna internet di Indonesia mayoritas berusia 19-34 tahun yaitu sebanyak 49,52% (APJI, 2017). Dari data tersebut terlihat bahwa hampir sebagian pengguna internet di Indonesia adalah digital natives atau penutur asli teknologi digital yaitu orang-orang yang lahir setelah tahun 1980: Generasi Y (1980-1995) dan Generasi Z (1996-2009). Penelitian ini akan difokuskan kepada Generasi Z karena mereka dianggap sebagai sebenar-benarnya generasi internet. Generasi Z lahir saat teknologi tersebut sudah tersedia, berbeda dengan Generasi Y yang masih mengalami transisi teknologi hingga menuju internet. Tujuan penelitian ini adalah mencari tahu cara yang efektif dalam memberikan informasi mengenai media literasi kepada generasi Z. Metode yang digunakan adalah deskriptif kualitatif dengan observasi dan wawancara mendalam. Informan berjumlah 12 orang mahasiswa di Jakarta. Hasil penelitian menunjukkan bahwa ada empat cara yang efektif dalam memberikan informasi mengenai media literasi yaitu i) video yang disebarkan ke media sosial seperti Youtube dan Instagram, ii) meme menarik dengan bahasa yang mudah dimengerti, iii) melalui selebgram yang menjadi panutan dan berimage positif, dan iv) papan iklan di pinggir jalan. Temuan menarik lainnya adalah informan laki-laki cenderung menyukai informasi media literasi melalui video dan meme yang disebarkan ke media sosial, sementara perempuan lebih menyukai kampanye yang dilakukan oleh selebgram berimage positif dan papan iklan.

Improving Sentiment Analysis using Hybrid Deep Learning Model

2020 ◽  
Vol 13 (4) ◽  
pp. 627-640 ◽  
Author(s):  
Avinash Chandra Pandey ◽  
Dharmveer Singh Rajpoot
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Sentiment Analysis ◽  
Classification Accuracy ◽  
Short Term Memory ◽  
Computational Cost ◽  
Extraction Process ◽  
Learning Model ◽  
Sentiment Classification ◽  
Deep Learning Model

Background: Sentiment analysis is a contextual mining of text which determines viewpoint of users with respect to some sentimental topics commonly present at social networking websites. Twitter is one of the social sites where people express their opinion about any topic in the form of tweets. These tweets can be examined using various sentiment classification methods to find the opinion of users. Traditional sentiment analysis methods use manually extracted features for opinion classification. The manual feature extraction process is a complicated task since it requires predefined sentiment lexicons. On the other hand, deep learning methods automatically extract relevant features from data hence; they provide better performance and richer representation competency than the traditional methods. Objective: The main aim of this paper is to enhance the sentiment classification accuracy and to reduce the computational cost. Method: To achieve the objective, a hybrid deep learning model, based on convolution neural network and bi-directional long-short term memory neural network has been introduced. Results: The proposed sentiment classification method achieves the highest accuracy for the most of the datasets. Further, from the statistical analysis efficacy of the proposed method has been validated. Conclusion: Sentiment classification accuracy can be improved by creating veracious hybrid models. Moreover, performance can also be enhanced by tuning the hyper parameters of deep leaning models.

ROLE AND MAIN DIRECTIONS OF INTERNET MARKETING DEVELOPMENT

2017 ◽  
Author(s):  
Liudmyla Kurylo ◽  
◽  
Yaroslav Kozchenko ◽  
Keyword(s):  
Social Media ◽  
Retention Rate ◽  
Internet Marketing ◽  
Social Media Marketing ◽  
The Internet ◽  
Online Environment ◽  
Building Relationships ◽  
Internet Users ◽  
The Usa ◽  
The Moment

The author conducted a study of the role and actual functions of Internet marketing nowadays, analyzed the latest publications and studies of domestic and foreign scientists relating to Internet marketing. The definitions of Internet marketing by various scientists were considered. It was determined by the problematic that exists in the field of internet marketing at the moment. A review of modern tools we identified the main tools of Internet marketing, by which the communication occurs on the Internet: SEO (Search Engine Optimisation), search (paid) advertising, Media advertising, SMM (Social Media Marketing) social media marketing, content marketing, E-mail marketing; Hootsuit's company research analysis determined the number of Internet users and purchasing power in the online environment, which averaged 500 USD per year. The number of Internet users in the online environment averaged 500 USD per year. And also to prioritise specific types of products. We have also identified that search engines are the main source of learning new information for consumers. Having analysed the dynamics of internet penetration in Ukraine, it appears that the number of internet users increased by 8% in 2019, with 22.96 million Ukrainians using the internet at the end of 2019. The article examines the possibilities of Internet marketing tools that become available when using such a tool as web analytics, including: personalised offers to customers, building relationships with customers, after a purchase is made and increasing their retention rate. A study of advertising costs on the social network Facebook, during the presidential elections in Ukraine in 2019 and during the presidential race in the USA in 2020 was conducted. And also defined the role played by social networks in building relationships with the target audience. During the research, recommendations for the use of the main tools of Internet marketing were made and it was determined which business areas are not suitable for each of the tools. Based on the research and statistical data was predicted directions of development of Internet marketing.

Video Advertising: Connection and differences between consumers?

2021 ◽  
Vol 3 (1) ◽  
pp. 14-25
Author(s):  
Sónia Ferreira ◽  
Sara Santos ◽  
Pedro Espírito Santo
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Literature Review ◽  
Conceptual Model ◽  
The Internet ◽  
Internet Search ◽  
Video Advertising ◽  
Social Media Engagement

The internet search trend has caused that online users are looking for more and more enriched information. The evolution of social media has been huge and users relate to social networks differently than they did before. Currently, there are more than 4 billion active users on social networks and brands are looking to showcase their products and services. Our research found the following factors that influence social media engagement: informativeness, self-connection and advertising stimulation. Through literature review, we propose a conceptual model that has been tested in the PLS-SEM. Data were collected from 237 consumers and our survey found that engagement in social media is explained by the variables identified by our model. Important contributions to brand theory and management will be found in this investigation.

scholarly journals Study of Automotive Brands Popularity in Indonesia Using Twitter Data

2016 ◽  
Vol 3 (1) ◽  
pp. 23-33
Author(s):  
Stevent Efendi ◽  
Alva Erwin ◽  
Kho I Eng
Keyword(s):  
Social Media ◽  
Social Network ◽  
Sentiment Analysis ◽  
Automotive Industry ◽  
Real World ◽  
The Internet ◽  
Brand Preference ◽  
Twitter Data ◽  
Wide Range ◽  
Widespread Phenomenon

Social media has been a widespread phenomenon in the recent years. People shared a lot of thought in social media, and these data posted on the internet could be used for study and researches. As one of the fastest growing social network, Twitter is a particularly popular social media to be studied because it allows researchers to access their data. This research will look the correlation between Twitter chatter of a brand and the sales of brands in Indonesia. Factors such as sentiment and tweet rate are expected to be able to predict the popularity of a brand. Being one of the biggest industries in Indonesia, automotive industry is an interesting subject to study. A wide range of people buys vehicles, and even gather as communities based on their car or motorcycle brand preference. The Twitter results of sentiment analysis and tweet rate will be compared with real world sales results published by GAIKINDO and AISI.

scholarly journals THE CONSUMER AS A SOURCE OF MARKETING INFORMATION IN THE INFORMATION SOCIETY

2015 ◽  
Vol 3 ◽  
pp. 361-367
Author(s):  
Kamila Peszko
Keyword(s):  
Social Media ◽  
Consumer Behavior ◽  
Information Society ◽  
Consumer Preferences ◽  
Internet User ◽  
The Internet ◽  
Free Access ◽  
Source Information ◽  
Internet Users ◽  
Marketing Information

The development of IT technology has provided people with free access to the Internet, which is now a place for consumers to look for opportunities to share their observations with others. The Internet user wants to be more aware, and willingly participates in the development of emerging brands. Companies have also found their place on the Internet, where they source information from Internet users. They realize the power of the consumer as a source of marketing information, and "take advantage" of consumer behavior to promote their brands. They analyze information about consumers, especially consumer preferences, and then publish this via social media in ways that might appeal to users and lead them to share it with others. This study describes this relationship between consumers and marketing via the Internet, and how the consumer is a source of marketing information, because of the possibilities created for entrepreneurs in the information society.

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