...Gökhan Usta Purpose This study aims to examine the effectiveness of machine learning models and ensemble approaches for automating Library of Congress Subject Headings ( LCSH ) assignment to graduate theses and dissertations, aiming to enhance the efficiency, scalability and accuracy of library...

...; and the remainder as objective. Because different configurations of the training sets and machine learning algorithms produced results with varying but similar accuracies, the final classifier was organised according to the average score obtained from the classifiers using different training sets and algorithms...

... natural language processing (NLP) techniques. Finally, different machine learning models were applied to predict the review quality, and feature analysis was performed to understand effective features. Findings The analysis results revealed that reviewers become more conservative and the review...

... document frequency [TF-IDF] and Word2vec) and machine learning classifiers (logistic regression, random forest, naive Bayes and support vector machine) were used. Findings The used classifiers show substantial accuracy in predicting reader satisfaction. Among them, the random forest classifier combined...

... the role of sentiment features along with other proposed features to evaluate the classification accuracy of machine learning algorithms for spam email detection. Design/methodology/approach Existing studies primarily exploits content-based feature engineering approach; however, a limited number...

... language. Sentiment analysis was carried out at the finest level of text granularity – the level of sentence segment (phrase and clause). Design/methodology/approach The presented system relies on NLP techniques, machine learning models, rules and dictionaries. The corpora collected and annotated...

...Ahsan Mahmood; Hikmat Ullah Khan Purpose The purpose of this paper is to apply state-of-the-art machine learning techniques for assessing the quality of the restaurants using restaurant inspection data. The machine learning techniques are applied to solve the real-world problems in all sphere...

... Emerald Publishing Limited 2019 Emerald Publishing Limited Licensed re-use rights only User preferences Collaborative filtering Machine learning Arabic recommender systems Semantic similarity Arabic language content User interests Recommender systems are used to suggest items...

... (i.e. motion picture, external and review sentiment) to develop box-office forecasting models using four machine learning techniques. The results indicated that the prediction models developed by using sentiment features and non-linear machine learning algorithm (i.e. support vector regression and ANN...

..., in this research, the investigators used different numbers of topics, from 10 to 200, and tested their prediction effects. Predicting gender, age and geographic location is essentially a task of classification. This means that a classification algorithm in machine learning can be used to complete the task...