Data on post bank customer reviews from web
نویسندگان
چکیده
منابع مشابه
Suggestion Mining from Customer Reviews
The increasing online content has influenced users’ buying behavior. It has triggered a paradigm shift in marketing strategies, as the consumer is no longer swayed by marketers, instead relying on user comments for a particular product or service. This paper focuses on extracting information from feedbacks like suggestions and recommendation by the users that is often present along with the sen...
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State of the art in opinion mining mainly focuses on positive and negative sentiment summarisation of online customer reviews. We observe that reviewers tend to provide advice, recommendations and tips to the fellow customers on a variety of points of interest. In this work, we target the automatic detection of suggestion expressing sentences in customer reviews. This is a novel problem, and th...
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Text is the main method of communicating information in the digital age. Messages, blogs, news articles, reviews, and opinionated information abounds on the Internet. People commonly purchase products online and post their opinions about purchased items. This feedback is displayed publicly to assist others with their purchasing decisions, creating the need for a mechanism with which to extract ...
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The number of customer reviews that a product receives is growing at very fast rate. Customer reviews posted on the websites vary greatly in quality. In this paper, we make an attempt to assess a review based on its quality, to help the customer make a proper buying decision. The quality of customer review is assessed as most significant, more significant, significant and insignificant. A novel...
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ژورنال
عنوان ژورنال: Data in Brief
سال: 2020
ISSN: 2352-3409
DOI: 10.1016/j.dib.2020.106152