Consumers are increasingly relying on other consumers’ online reviews of features and quality of products while making their purchase decisions. However, the rapid growth of online consumer product reviews makes browsing a large number of reviews and identifying information of interest time consuming and cognitively demanding. Although there has been extensive research on text review mining to ...

Introduction: The acquisition of speech and language constitutes a dynamic part of two-year-old children’s growth. Expressive lexicon is a key indicator of language ability in these children. Premature birth, birth before gestational week 37, is one of the most common risk factors associated with learning skill development. A review of literature suggests inconsistent results on the...

Social Media has changed the way we communicate between individuals, within organizations and communities. The availability of these social data opens new opportunities to understand and influence the user behavior. Therefore, Social Media Mining is experiencing a growing interest in various scientific and economic circles. In this thesis, we are specifically interested in the users of these ne...

The text mining of patents and patent applications for chemical structures of interest to medicinal chemists poses a number of unique challenges not encountered in other fields of text analytics. Traditional text mining relies on the co-occurrence of common terms between documents to provide similarity measures that can be used to cluster and rank related documents. The more words shared betwee...

Text data analysis has found its way in many applications, and our study focuses on the financial fields. Previous studies in financial indicator prediction are mostly based on econometric models. In recent years, with the advance of text mining techniques, more and more studies employ financial news as the data source for analysis. Most studies, however, aim to predict stock prices, identify t...

This article discusses the problem of one-shot gesture recognition using a humancentered approach and its potential application to fields such as human–robot interaction where the user’s intentions are indicated through spontaneous gesturing (one shot). Casual users have limited time to learn the gestures interface, which makes one-shot recognition an attractive alternative to interface customi...

Opinion Mining also known as Sentiment Analysis (SA) has recently become the focus of many researchers, because analysis online text is useful and demanded in different applications. social sentiments a trending topic this era users share their emotions more suitable format with help micro blogging services like twitter. Twitter provides information about individual's real-time feelings through...

Abstract While the Information Systems (IS) discipline has researched digital platforms extensively, body of knowledge appertaining to still appears fragmented and lacking conceptual consistency. Based on automated text mining unsupervised machine learning, we collect, analyze, interpret IS discipline’s comprehensive research platforms—comprising 11,049 papers spanning 44 years activity. From a...