Location based Twitter Opinion Mining using Common-Sense Information

2017 ◽  
Vol 9 (2) ◽  
pp. 28 ◽  
Author(s):  
Amita Jain ◽  
Minni Jain
Keyword(s):  
Social Networking ◽  
Common Sense ◽  
Social Networking Sites ◽  
Opinion Mining ◽  
Public Information ◽  
Social Media Site ◽  
Machine Learning Model ◽  
Product Service ◽  
Female Specific ◽  
Mining Model

Sentiment analysis research of public information from social networking sites has been increasing immensely in recent years. Data available at social networking sites is one of the most effective and accurate source to identify the public sentiment of any product/service. In this paper, we propose a novel localized opinion mining model based on common sense information extracted from ConceptNet ontology. The proposed methodology allows interpretation and utilization of data extracted from social media site “Twitter” to identify public opinions. This paper includes location specific, male- female specific and concept specific popularities of product. All extracted concepts are used to calculate senti_score and to build a machine learning model that classifies the user opinions as positive or negative.

scholarly journals A Survey on Analysis of Twitter Opinion Mining Using Sentiment Analysis

2019 ◽  
pp. 537-542
Author(s):  
Vishnu VardanReddy ◽  
Mahesh Maila ◽  
Sai Sri Raghava ◽  
Yashwanth Avvaru ◽  
Sri. V. Koteswarao
Keyword(s):  
Social Networking ◽  
Sentiment Analysis ◽  
Social Networking Sites ◽  
Opinion Mining ◽  
Online Communication ◽  
Valuable Insight ◽  
Huge Amount ◽  
Twitter Data ◽  
Product Service ◽  
Different Types

In recent years, there is a rapid growth in online communication. There are many social networking sites and related mobile applications, and some more are still emerging. Huge amount of data is generated by these sites everyday and this data can be used as a source for various analysis purposes. Twitter is one of the most popular networking sites with millions of users. There are users with different views and varieties of reviews in the form of tweets are generated by them. Nowadays Opinion Mining has become an emerging topic of research due to lot of opinionated data available on Blogs & social networking sites. Tracking different types of opinions & summarizing them can provide valuable insight to different types of opinions to users who use Social networking sites to get reviews about any product, service or any topic. Analysis of opinions & its classification on the basis of polarity (positive, negative, neutral) is a challenging task. Lot of work has been done on sentiment analysis of twitter data and lot needs to be done. In this paper we discuss the levels, approaches of sentiment analysis, sentiment analysis of twitter data, existing tools available for sentiment analysis and the steps involved for same. Two approaches are discussed with an example which works on machine learning and lexicon based respectively.

scholarly journals Sentiment Analysis of Patients' Opinions in Healthcare using Lexicon-based Method

2019 ◽  
Vol 9 (1) ◽  
pp. 6977-6981
Keyword(s):  
Social Networking ◽  
Sentiment Analysis ◽  
Social Networking Sites ◽  
Healthcare Service ◽  
Opinion Mining ◽  
Research Area ◽  
Service Needs ◽  
Health Organizations ◽  
The World ◽  
New Research

The rapid increase in technology made people across the world use social networking sites to express their opinions on a topic, product or service. The success of a healthcare service directly depends on its users. If a majority of users like the service then it is a success otherwise, the service needs to be improvised. For improvising the service, the users' opinions need to be analyzed. Manually extracting and analyzing the content present on the web is a tedious task. This gave rise to a new research area called Sentiment Analysis. It is otherwise known as opinion mining. It is being used by many health organizations to make effective decisions on their service. This paper presents the sentiment analysis of patients' opinions on hospitals which is mainly used to improve healthcare service. This is implemented using a lexicon-based methodology to analyze the sentiment.

Conceptualizing Codes of Conduct in Social Networking Communities

2010 ◽  
pp. 27-43
Author(s):  
Ann Dutton Ewbank ◽  
Adam G. Kay ◽  
Teresa S. Foulger ◽  
Heather L. Carter
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Social Cognitive ◽  
Ethical Issues ◽  
Codes Of Conduct ◽  
Public Information ◽  
Social Responses ◽  
Moral Framework ◽  
Private And Public ◽  
Social Networking Tools

This chapter reviews the capabilities of social networking tools and links those capabilities to recent legal and ethical controversies involving use of social networking tools such as Facebook and MySpace. A social cognitive moral framework is applied to explore and analyze the ethical issues present in these incidents. Three ethical vulnerabilities are identified in the use of social networking tools: 1) the medium provides a magnified forum for public humiliation or hazing, 2) a blurring of boundaries exists between private and public information on social networking sites, and 3) the medium merges individuals’ professional and non-professional identities. Prevalent legal and social responses to these kinds of incidents are considered and implications are suggested for encouraging responsible use. The chapter includes a description of the authors’ current research with preservice students involving an intervention whereby students read and think about real cases where educators use social networking. The intervention was created to improve students’ critical thinking about the ethical issues involved. Recommendations for applying institutional codes of conduct to ethical dilemmas involving online tools are discussed.

scholarly journals MEMBANGUN INTERAKSI DAN KOMUNIKASI INTERPERSONAL YANG EFEKTIF : KOMPETENSI HUMAS BERKOMUNIKASI DI FACEBOOK

2015 ◽  
Vol 1 (2) ◽  
Author(s):  
Fazil
Keyword(s):  
New Media ◽  
Public Relations ◽  
University Students ◽  
Social Networking ◽  
Interpersonal Communication ◽  
Social Networking Sites ◽  
Public Information ◽  
Public Affairs ◽  
Communication Process ◽  
Information And Communication

Retrieved from kominfo.go.id, the Director of Information Services of International Directorate General of Public Information and Communication, Selamatta Sembiring, said that 95 % of internet users accesses social networking sites. The most accessible social networking sites are Facebook and Twitter. This research uses descriptive qualitative approach by using methods which are data collection, interview, and documentation. The interaction in interpersonal communication on Facebook tends to be similar to the daily interpersonal communication. Both of them have similar steps of daily interpersonal communication process as proposed by Devito (1997:233) which are contact, involvement, familiarity, destruction, and termination. The next development is that the connectivity among Facebook users is no longer based on known people who live far away. Facebook expands the reach of connectedness based on specific needs of humans. As shown on the early development of Facebook, that connection is expanded on university students. It can be seen from the specific need of university students that is the need of educational information. The existence of new media, especially Facebook, cannot be underestimated by public relations. It can be a chance to optimize its role and its function internally and externally or publicly. The existence of new media repositions public affairs function which tends to be closed and one-way communication to be open and two-way communication. This new situation requires public relations to have the appropriate interaction competence in the public as well as effective interpersonal communication on social media, especially Facebook.  Keywords : interpersonal communication, public information and communication,  facebook

Conceptualizing Codes of Conduct in Social Networking Communities

2010 ◽  
pp. 2096-2112 ◽  
Author(s):  
Ann Dutton Ewbank ◽  
Adam G. Kay ◽  
Teresa S. Foulger ◽  
Heather L. Carter
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Social Cognitive ◽  
Ethical Issues ◽  
Codes Of Conduct ◽  
Public Information ◽  
Social Responses ◽  
Moral Framework ◽  
Private And Public ◽  
Social Networking Tools

This chapter reviews the capabilities of social networking tools and links those capabilities to recent legal and ethical controversies involving use of social networking tools such as Facebook and MySpace. A social cognitive moral framework is applied to explore and analyze the ethical issues present in these incidents. Three ethical vulnerabilities are identified in the use of social networking tools: 1) the medium provides a magnified forum for public humiliation or hazing, 2) a blurring of boundaries exists between private and public information on social networking sites, and 3) the medium merges individuals’ professional and non-professional identities. Prevalent legal and social responses to these kinds of incidents are considered and implications are suggested for encouraging responsible use. The chapter includes a description of the authors’ current research with preservice students involving an intervention whereby students read and think about real cases where educators use social networking. The intervention was created to improve students’ critical thinking about the ethical issues involved. Recommendations for applying institutional codes of conduct to ethical dilemmas involving online tools are discussed.

scholarly journals A Inspection on Sentiment Research of Big Data: Techniques, Open Challenges

2019 ◽  
Vol 8 (6S4) ◽  
pp. 362-365
Keyword(s):  
Social Networking ◽  
Sentiment Analysis ◽  
Social Networking Sites ◽  
Opinion Mining ◽  
Service Industry ◽  
Research Work ◽  
Educational Institutions ◽  
Business Organizations ◽  
The Public ◽  
Day By Day

Due to the invention of Web 2.0, the users have become more interest to share their content day by day. The emergence of various social networking sites has added to a greater extent to these activities. These provide a very good platform for the users to share the opinions of the persons across the globe. The opinions shared by the customers on the web can have the prevalent over the service industry. Many industries such as educational institutions, researchers, business organizations are concentrating opinion mining which is also called as sentiment analysis (SA) to retrieve the views and opinions posted by the public. This paper made a survey on Sentiment Analysis (SA) which aims to discusses technical aspects of SA (techniques, types) .This paper further highlights the main challenges faced by SA. These challenges present a lot of scope for research work in the future

scholarly journals Analysis on Health Information Acquisition of Social Network Users by Opinion Mining: Case Analysis Based on the Discussion on COVID-19 Vaccinations

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Datian Bi ◽  
Jingyuan Kong ◽  
Xue Zhang ◽  
Junli Yang
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Linear Relationship ◽  
Health Information ◽  
Information Acquisition ◽  
Opinion Mining ◽  
Case Analysis ◽  
Information Behaviors ◽  
Internet Users ◽  
Mining Model

This study aims to explore phenomena and laws that occur when different users on social network platforms obtain health information by constructing an opinion mining model, analyzing the user’s position on selected cases, and exploring the reflection of the phenomenon of truth decay on platforms. It selects group posts regarding the COVID-19 vaccination dispute on the Douban platform, analyzes the positions of different users, and explores phenomena related to users obtaining health information on domestic social platforms according to different topics and information behaviors. The results reveal a linear relationship between the negative and neutral attitudes of netizens on social networking platforms. Moreover, netizens tend to hold subjective language when expressing their views and attitudes, and their views on social platforms will not change easily. The study explores the health information acquisition behavior of netizens on social platforms based on the constructed user opinion mining model. The study is helpful for relevant units and platforms to make scientific decisions and provide guidance according to different positions of Internet users.

scholarly journals DETERMINISME TEKNOLOGI DAN POSISI MEDIA DECENTER PADA KASUS PEMBERITAAN KECELAKAAN MAUT DI TUGU TANI JAKARTA

2016 ◽  
Vol 3 (2) ◽  
pp. 75
Author(s):  
Mubarok Mubarok
Keyword(s):  
Mass Media ◽  
Social Networking ◽  
Social Networking Sites ◽  
Information Needs ◽  
Public Information ◽  
Social Networking Site ◽  
Reference Source ◽  
Communication Device ◽  
Human Side ◽  
Types Of Information

<p><em>Deadly accident</em><em> at Tugu Tani Jakarta not only shows the human side of an event. Dissemination of information through mass media is no longer dominant in determining how the audience should act. The emergence of social networking sites opens new channels for the dissemination of public information that is more believable. The development of information technology not only marked by the turn of the communication device but coupled with changes in the behavior of human users. They are actively selecting and using various media to meet the information needs, socialize, trade, and show the existence. The position of the mass media is no longer dominant in determining the type of information and the consuming public dictates the type of information. Through a social networking site and diverse site audience and information providers are actively selecting and using various types of information. In this position the media as marginalized (decenter) and does not become a major reference source.</em></p>

Enhancements in Decision Making Through Sentiment Analysis of Twitter Data

2020 ◽  
Vol 17 (9) ◽  
pp. 4083-4091
Author(s):  
Jagadish S. Kallimani ◽  
S. H. Ajeya ◽  
D. Keerthana ◽  
Manoj J. Shet ◽  
Prasada Hegde
Keyword(s):  
Social Networking ◽  
Sentiment Analysis ◽  
Language Processing ◽  
Social Networking Sites ◽  
Multi Layer Perceptron ◽  
The Public ◽  
Twitter Data ◽  
Product Service ◽  
Reliable Source ◽  
Computational Identification

All trades and business run predominantly on customer satisfaction and serves as the key to success. Usually, the decisions made by people is largely dependent on others’ perspectives. Hence, it becomes important to have reviews in your favor to sustain and outperform competitors in the market. Collecting reviews and predictions and analyzing them is an effective method to get insights on how the product, service or subject is accepted by the public. It also helps us discover the fields or aspects that needs to be improved. This comes under the field of Sentiment Analysis which refers to the computational identification of views, perspectives, opinions and emotions from text and speech through Natural Language Processing. With the emergence of the internet, blogging and social-networking sites are a rage. Twitter is one of the popular and ubiquitous sites and acts as a reliable source of feedback. In this paper, we seek to detect the emotion portrayed in a given tweet with significant accuracy. We propose the use of Word2Vec model and Count Vectorizer to extract features from pre-processed data. The output is fed to trained Multi-Layer Perceptron classifier to detect the emotion behind the sentence.

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