scholarly journals Sentiment Analysis of Twitter in Tourism Destinations

2020 ◽  
Author(s):  
Carmen Perez Cabañero ◽  
Enrique Bigne ◽  
Carla Ruiz Mafe ◽  
Antonio Carlos Cuenca
Keyword(s):  
Text Mining ◽  
Sentiment Analysis ◽  
Word Of Mouth ◽  
Electronic Word Of Mouth ◽  
Research Questions ◽  
Tourism Destinations

Given the importance of electronic word of mouth (eWOM), this paperanalyses the content of messages generated by users related to a touristdestination and shared through Twitter. We propose three research questionsregarding eWOM behaviour in Twitter focused on the expertise of thereviewer, sentiment analysis of a tweet and its content. In order to addressthose research questions we carry out text mining analysis by retrievingexisting information on Twitter (over 1500 tweets) regarding to Venice as atourist destination.

Using Sentiment Analysis for Evaluating e-WOM

2020 ◽  
pp. 101-123 ◽  
Author(s):  
Zehra Nur Canbolat ◽  
Fatih Pinarbasi
Keyword(s):  
Sentiment Analysis ◽  
Word Of Mouth ◽  
Service Industry ◽  
Real Life ◽  
Marketing Research ◽  
Theoretical Background ◽  
Service Organizations ◽  
Electronic Word Of Mouth ◽  
Analysis Methodology ◽  
New Consumer

Electronic word of mouth is one of the keys elements for marketing decision making. e-WOM has been focus of marketing research as technology and social media become larger part of consumers' lives. This study set out to examine e-wom concept with sentiment analysis methodology in service industry context. The structure of study is twofold including theoretical backgound of related concepts and application section. Theoretical background section contains electronic word of mouth, new consumer and sentiment analysis concepts, and included selected studies for sentiment analysis. The application section which this study has focus on includes a three-stage plan for sentiment analysis practices. Each stage has three different scenarios. One algorithm and one real-life application for each stage are included. Nine scenarios for different service organizations imply that sentiment analysis supported with other methodologies can contribute to understanding of electronic word of mouth.

Electronic Word-of-Mouth (eWOM) and Its Influence on Book Purchasing Decisions

2013 ◽  
pp. 156-172 ◽  
Author(s):  
Angela Lin ◽  
Jonathan Foster
Keyword(s):  
Social Media ◽  
Word Of Mouth ◽  
Source Credibility ◽  
The Internet ◽  
Electronic Word Of Mouth ◽  
Purchasing Decisions ◽  
Research Questions ◽  
Online Book ◽  
Selection Of

Electronic word-of-mouth (eWOM) is playing an increasingly influential role in informing consumers’ purchasing decisions. Previously confined to seeking information from a small group of family and friends, consumers are now able via the Internet and social media, to draw on the contributions of a much larger group of other consumers. This chapter presents findings from a content analysis of a selection of book readers’ contributions to the Anobii Digital Bookshelf review site. The research questions guiding this analysis are: do online book reviews influence consumers’ book purchasing decisions? What conditions affect the influence of online book reviews? What are the consequences of online book reviews for consumers’ book purchasing decisions? The evidence from this study suggests that online book reviews play an influential role in the majority of Anobii members’ purchasing decisions; and that the opinions of other readers are sought primarily because of their perceived independence. Findings in relation to the informational and social attributes of book reviews, along with their framing are also presented. The chapter concludes with discussing the implications of the study for the implementation and use of eWOM, including the need to differentiate between different consumer types, being cognizant of the issue of source credibility, and the informational and social attributes that contribute to this, and of possible social and technological biases.

Unraveling E-WOM Patterns Using Text Mining and Sentiment Analysis

2020 ◽  
pp. 88-100
Author(s):  
João Guerreiro ◽  
Sandra Maria Correia Loureiro
Keyword(s):  
Decision Making ◽  
Text Mining ◽  
Sentiment Analysis ◽  
Real Time ◽  
Word Of Mouth ◽  
Decision Makers ◽  
Valuable Resource ◽  
Textual Information ◽  
Online Reputation ◽  
Unstructured Information

Electronic word-of-mouth (e-WOM) is a very important way for firms to measure the pulse of its online reputation. Today, consumers use e-WOM as a way to interact with companies and share not only their satisfaction with the experience, but also their discontent. E-WOM is even a good way for companies to co-create better experiences that meet consumer needs. However, not many companies are using such unstructured information as a valuable resource to help in decision making: first, because e-WOM is mainly textual information that needs special data treatment and second, because it is spread in many different platforms and occurs in near-real-time, which makes it hard to handle. The current chapter revises the main methodologies used successfully to unravel hidden patterns in e-WOM in order to help decision makers to use such information to better align their companies with the consumer's needs.

scholarly journals SENTIMENT ANALYSIS ON PERCEPTION OF TOURISM IN DKI JAKARTA PROVINCE: CASE STUDY OF OLD CITY AND KEPULAUAN SERIBU

2021 ◽  
Vol 9 (1) ◽  
pp. 49-60
Author(s):  
Supriyadi Winata ◽  
Farah Pangestuty
Keyword(s):  
Sentiment Analysis ◽  
Local Governments ◽  
Word Of Mouth ◽  
Electronic Word Of Mouth ◽  
Tourist Destinations ◽  
Increasing Trend ◽  
Old City

The purpose of this study is to determine the perceptions of tourists in two tourist destinations in DKI Jakarta which are included in the National Tourism Strategic Area (KSPN), namely Kota Tua and Kepulauan Seribu by conducting a sentiment analysis. The analysis was carried out on traveler reviews in the form of electronic word of mouth (eWOM) submitted on the tripadvisor site. The results of the study found that in general the sentiment of tourists towards these two destinations was positive, and each year there was an increasing trend. However, based on the exploration of sentiments that have negative connotations, it is known that the problems of odor, garbage and pollution are of great concern to tourists. Other aspects of concern to tourists are the need for better governance by local governments, and the need for standard facilities and services.

scholarly journals The Effect of Electronic Word of Mouth on Social Media and The Attraction of Bena Traditional Village Tourism on Tourist Visiting Decisions

SENTRALISASI ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 37
Author(s):  
Maria Endang Jamu ◽  
Santy Permata Sari
Keyword(s):  
Social Media ◽  
Quantitative Research ◽  
Sampling Method ◽  
Word Of Mouth ◽  
Electronic Word Of Mouth ◽  
Quantitative Research Methods ◽  
Tourist Attractions ◽  
Social Media Platforms ◽  
Tourism Destinations ◽  
The Impact

The purpose of this research is to examine the impact of electronic word of mouth on social media, as well as the impact of tourist attractions in the traditional hamlet of Bena on visitor decision-making. The descriptive and quantitative research methods were applied. The sampling method utilized is purposive sampling, with the informants being visitors who have visited Bena's traditional village. The findings revealed that social media and electronic word of mouth (E-WOM) in tourism destinations influenced tourists' decisions to visit Bena's traditional village. The findings of this study suggest that pleasant experiences of visiting the Bena Traditional Village, which are shared on social media platforms such as Facebook, Instagram, and WhatsApp, have a significant impact on the number of visitors to these attractions by social media users.

Sign in / Sign up

Export Citation Format

Share Document