Consumers' Attitude toward Insurance Companies: A Sentiment Analysis of Online Consumer Reviews

نویسندگان

  • Maryam Ghasemaghaei
  • Seyed Pouyan Eslami
  • Ken Deal
  • Khaled Hassanein
چکیده

This study considers consumer online reviews for auto, home, and life insurance services to provide insights regarding understanding consumers’ attitude toward different insurance types. We apply the sentiment analysis technique to analyze the overall sentiment of each insurance type since 2012. Our findings show that since 2013 consumers had more negative attitudes toward insurance services. We also extracted consumers’ emotions for each insurance type and found that consumers generally have more negative emotions than positive ones toward insurance services. Moreover, the results show that consumer reviews sentiments could accurately predict consumer review ratings and there are significant differences in review ratings between positive, neutral, and negative consumer reviews sentiments for all insurance types. The results of this study highlight the importance of sentiment analysis in understanding consumers’ opinion toward different services that could help companies to reduce consumers negative attitudes and to attract more customers.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Context-Dependent Sentiment Analysis of Online Product Reviews based on Dependency Relationships

Consumers often view online consumer product review as a main channel for obtaining product quality information. Existing studies on product review sentiment analysis usually focus on identifying sentiments of individual reviews as a whole, which may not be effective and helpful for consumers when purchase decisions depend on specific features of products. This study proposes a new feature-leve...

متن کامل

Modeling the Helpful Opinion Mining of Online Consumer Reviews as a Classification Problem

The paper addresses an opinion mining problem: how to find the helpful reviews from online consumer reviews via the quality of the content. Since there are too many reviews, efficiently identifying the helpful ones earlier can benefit both consumers and companies. Consumers can read only the helpful opinions from helpful reviews before they purchase a product, while companies can acquire the tr...

متن کامل

Aspect Ranking: Identifying Important Product Aspects from Online Consumer Reviews

In this paper, we dedicate to the topic of aspect ranking, which aims to automatically identify important product aspects from online consumer reviews. The important aspects are identified according to two observations: (a) the important aspects of a product are usually commented by a large number of consumers; and (b) consumers’ opinions on the important aspects greatly influence their overall...

متن کامل

Trouble Spots in Online Direct-to-Consumer Prescription Drug Promotion: A Content Analysis of FDA Warning Letters

Background For the purpose of understanding the Food and Drug Administration’s (FDA’s) concerns regarding online promotion of prescription drugs advertised directly to consumers, this study examines notices of violations (NOVs) and warning letters issued by the FDA to pharmaceutical manufacturers.   Methods The FDA’s warning letters and NOVs, which were issued to pharmaceutical companies over a...

متن کامل

eWOM overload and its effect on consumer behavioral intention depending on consumer involvement

Online consumer reviews involving experiences, evaluations and opinions on products from previous consumers play two roles – an informant and a recommender. These two roles affect a consumer’s intention. However, there is a conflict between two roles when a large number of reviews are offered. From the perspective of the recommender role, consumers have more favorable attitude toward a product ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016