..., subjects, backgrounds, knowledge, etc. Text mining is used to extract some information and identify patterns within the data (Radovanović and Ivanović, 2008). However, due to the high dimension of words in documents, it can be challenging to intuitively understand textual data or analyze it. One...

... Knowledge graph Text mining Information visualization Lag sequence analysis Humanities research has often relied chiefly on traditional text-based reading approaches to explore textual content. However, when faced with the information explosion of the current information society, research methods...

..., the current study develops and tests hypotheses by analyzing real-world review data with a text mining approach in e-commerce to investigate how information consistency (rating inconsistency, review consistency and text similarity) influences perceived helpfulness. Moreover, the role of product type...

... who have written helpful and consistent reviews to select influential and representative neighbors. To achieve the purpose of this study, the authors apply a text-mining approach to analyze review helpfulness and consistency. In addition, they evaluate the performance of the proposed methodology using...

...Jiho Kim; Hanjun Lee; Hongchul Lee Purpose This paper aims to find determinants that can predict the helpfulness of online customer reviews (OCRs) with a novel approach. Design/methodology/approach The approach consists of feature engineering using various text mining techniques including BERT...

... on the data published by the Ethisphere Institute, the global leader in defining and advancing the standards of ethical business practices. Having compiled the mission statements into a text file, the authors conducted text mining using a commercially available text mining tool SAS Enterprise Miner to survey...

... and rules to resolve the problem of a large number of unknown words of professional vocabulary, in this paper, the authors proposed an end-to-end Bert-CRF model with inputting constructed domain wordpiece tokens using text mining methods. The authors use standard high-frequency string extraction techniques...

... promote the student's knowledge construction process and improve learning performance. Since the rapid development of big data platforms and machine learning or even deep learning algorithms, text mining has come to be regarded as an effective approach of content analysis for discovering valuable...

... their original formats. Text mining Topic model Short texts Word embeddings Data analysis Document characterization Topic model is one of the effective data analysis methods, which can discover latent information from texts in an unsupervised way. It is one of the popular research areas...

...N. Venkata Sailaja; L. Padmasree; N. Mangathayaru Purpose Text mining has been used for various knowledge discovery based applications, and thus, a lot of research has been contributed towards it. Latest trending research in the text mining is adopting the incremental learning data...

... Particle swarm optimization Text mining Community question answering Core question extraction Although these works have made great progress in overcoming question overload problems, there still some problems to be resolved. These methods focus on ranking questions according to the needs...

... re-use rights only Incompleteness Text mining Citation Recommendation system Draft paper WordNet Human culture has emerged through the accumulation and inheritance of knowledge. Academic works have been based on the vast amount of knowledge that has been built over many millennia...

... to investigate and combat criminal activities. Design/methodology/approach The developed model employs a methodology for knowledge discovery involving text mining techniques and uses latent Dirichlet allocation (LDA) with collapsed Gibbs sampling to obtain topics related to crime. Findings The method...

... guidelines for hotel service development by applying a service development approach integrating Kansei engineering and text mining. Design/methodology/approach The online reviews represent the voice of customers regarding the products and services. Consumers’ online comments might become a key factor...

... ; Parnin et al., 2013 ; Pagano and Maalej, 2011 ; Tian et al., 2012 ; MacLeod et al., 2015). Mining Software development Information retrieval Text mining Software repositories Stack overflow © Emerald Publishing Limited 2018 Emerald Publishing Limited...