scholarly journals An Efficient QR Methodology for Authentication of Reviews in Hospitality Sector

2021 ◽  
Vol 9 (11) ◽  
pp. 1837-1843
Author(s):  
Mahoor Khan
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Sentiment Analysis ◽  
Qr Code ◽  
Holistic View ◽  
Number Concept ◽  
Hospitality Sector ◽  
Media Applications

Abstract: Consumer-created reviews of services are a critical driver of everyday decision-making. A service that has a higher average review or rating usually gets picked against a similar service with less favourable reviews. Customer feedbacks are useful for restaurants in order for them to recognize their strengths and weaknesses, and therefore generate ideas to enhance their services. Social media applications already provide us with an option of sharing our reviews which helps a new visitor to know the place in advance, but it is really hard to get a holistic view of the restaurant mainly due to the fact that almost anyone can submit a review regardless of whether they have actually visited the restaurant or not. Some mischievous people deliberately put-up misleading reviews about a particular restaurant due to which other people get a bad image of that restaurant, thus bringing down the business. This paper aims to address all these concerns specifically. The objective was to build an interface that would prevent malicious users uploading deceptive reviews about a restaurant. Two techniques namely Bill Number Concept and QR Code Concept were proposed to build the required interface. Sentiment Analysis was then used to convert these reviews into ratings. The interface created using the mentioned techniques enabled only verified users to submit their reviews thereby successfully preventing malicious users from submitting a review. Keywords: feedback, reviews, bill number, QR code, sentiment analysis

Playing videogames or using social media applications on smartphones causes mental fatigue and impairs decision-making performance in amateur boxers

2021 ◽  
pp. 1-12
Author(s):  
Leonardo Sousa Fortes ◽  
Petrus Gantois ◽  
Dalton de Lima-Júnior ◽  
Bruno Teixeira Barbosa ◽  
Maria Elisa Caputo Ferreira ◽  
...  
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Mental Fatigue ◽  
Media Applications

Analisis Pengembangan Fitur Obrolan Baru Berbasis Scan QR Code Pada Aplikasi Paziim

2019 ◽  
Vol 2 (1) ◽  
pp. 17-25
Author(s):  
Ike Yunia Pasa ◽  
Fuad Rifqi Zamzami
Keyword(s):  
Social Media ◽  
Research Method ◽  
Qualitative Approach ◽  
Qr Code ◽  
Chat Room ◽  
Two Dimensional ◽  
Quick Response ◽  
Speed Up ◽  
Media Applications ◽  
Depth Interviews

Quick Response (QR) Code is an image in the form of a two-dimensional matrix that has the ability to save the data in it. The QR Code feature is added to several social media, especially the Paziim chat application which aims to speed up starting a new chat with people who are not yet on the phone's contact list.The research method in the form of an interpretive qualitative approach is carried out with in depth interviews in several informants, observation and data collection at PT. Paziim AIO Platformindo. The results of the research in the form of the Paziim QR code feature can be developed to minimize the time to add new chat, features can help maintain privacy between users, scan QR Code accounts enter the chat room with contact add or block options, features can be used based on the version settings in the application Paziim and the new chat feature on Paziim which is the work of the nation's children can also be a differentiator with similar foreign-owned social media applications.

scholarly journals Sentiment Trend Analysis of Big Data

2019 ◽  
Vol 8 (10) ◽  
pp. 59-64
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Big Data ◽  
Sentiment Analysis ◽  
Real Time ◽  
Language Processing ◽  
Opinion Mining ◽  
Data Sources ◽  
Product Reviews

Various fields like Text Mining, Linguistics, Decision Making and Natural Language Processing together form the basis for Opinion Mining or Sentiment Analysis. People share their feelings, observations and thoughts on social media, which has emerged as a powerful tool for rapidly growing enormous repository of real time discussions and thoughts shared by people. In this paper, we aim to decipher the current popular opinions or emotions from various sources, hence, contributing to sentiment analysis domain. Text from social media, blogs and product reviews are classified according to the sentiment they project. We re-examine the traditional processes of sentiment extraction, to incorporate the increase in complexity and number of the data sources and relevant topics, while re-populating the meaning of sentiment. Working across and within numerous streams of social media, expression of sentiment and classification of polarity is re-examined, thereby redefining and enhancing the realm of sentiment. Numerous social media streams are analyzed to build datasets that are topical for each stream and are later polarized according to their sentiment expression. In conclusion, defining a sentiment and developing tools for its analysis in real time of human idea exchange is the motive.

Sentiment Analysis on Social Media

2020 ◽  
pp. 508-527
Author(s):  
Ramesh S. Wadawadagi ◽  
Veerappa B. Pagi
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Model Building ◽  
Feature Representation ◽  
Social Events ◽  
The People ◽  
The World ◽  
Media Applications ◽  
Near Future ◽  
Share Information

Due to the advent of Web 2.0, the size of social media content (SMC) is growing rapidly and likely to increase faster in the near future. Social media applications such as Instagram, Twitter, Facebook, etc. have become an integral part of our lives, as they prompt the people to give their opinions and share information around the world. Identifying emotions in SMC is important for many aspects of sentiment analysis (SA) and is a top-level agenda of many firms today. SA on social media (SASM) extends an organization's ability to capture and study public sentiments toward social events and activities in real time. This chapter studies recent advances in machine learning (ML) used for SMC analysis and its applications. The framework of SASM consists of several phases, such as data collection, pre-processing, feature representation, model building, and evaluation. This survey presents the basic elements of SASM and its utility. Furthermore, the study reports that ML has a significant contribution to SMC mining. Finally, the research highlights certain issues related to ML used for SMC.

Social Media in Business Decisions of MSMES

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Relevant Literature ◽  
Business Environment ◽  
Business Decisions ◽  
The Social ◽  
Social Media Platforms ◽  
Media Applications ◽  
Media Integration ◽  
Potential Opportunity

Social media has progressively grown in the last century and is now seen as a potential opportunity for various purposes, including the decision-making. Present work explores how social media platforms such as Facebook, Twitter, and Instagram etc. can be used to support the decision making process of MSMEs. The work is exploratory in nature and relevant literature has been reviewed to identify the decision making approaches at different managerial levels and how they have been integrated with the social media applications. Specific examples of Social media platforms have been discussed, considering the MSMEs’ business environment. Along with the practices, most important challenges to social media integration have also been presented.

Impact of Online Social Media on Consumer Decision Making: A Study in Dehradun

2012 ◽  
Vol 3 (5) ◽  
pp. 379-381
Author(s):  
Dr. Aruna Kumar Mishra ◽  
◽  
Narendra Kumar Narendra Kumar ◽  
Abhishek Sharma
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Consumer Decision Making ◽  
Consumer Decision ◽  
Online Social Media
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