... 12 2019 25 05 2020 22 07 2020 © Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only Social media Twitter Sentiment analysis Text mining Classification Machine learning Trending Event detection Social media has become...

... posted on customer-to-customer (C2C) social commerce platforms from an IQ framework. The authors deployed innovative text mining techniques to generate features from the IQ framework and then used a machine learning (ML) algorithm to classify ads into three categories ‐ high quality, medium quality...

... contents of both user and critic reviews were text-mined and extracted. Data analyses were used to compare the box-office responsiveness of four types of reviews: user numeric ratings, user text reviews, critic numeric ratings and critic text reviews. Findings Critic reviews and user reviews influence...

... interested in the long-term fluctuation of the suggestion terms (RQ3). We intend to contribute to the topic of information biases in search engines by applying a text mining approach. We focus on the statistical identification and quantification of systematic patterns in the data. Whether...

... is to argue that an asymmetric relationship between review content valence and numerical rating will depend on brand strength. Design/methodology/approach The authors have conducted a sentiment analysis via text mining, using self-developed computer programs to retrieve a data set from the TripAdvisor...

..., summarize, and visualize online customer reviews posted on social media platforms such as online forums. However, analyzing social media data is challenging due to the vast increase of social media data. The purpose of this paper is to present an approach of using natural language preprocessing, text mining...