Document clustering: TF-IDF approach
Recent advances in computer and technology resulted into ever increasing set of
documents. The need is to classify the set of documents according to the type. Laying …
documents. The need is to classify the set of documents according to the type. Laying …
Ontology-based semantic modeling of knowledge in construction: Classification and identification of hazards implied in images
Identifying potential hazards of construction project is a data-intensive process that involves
various types of information such as site data, specifications, and engineering documents …
various types of information such as site data, specifications, and engineering documents …
[HTML][HTML] Toward building recommender systems for the circular economy: Exploring the perils of the European Waste Catalogue
The growth in the number of industries aiming at more sustainable business processes is
driving the use of the European Waste Catalogue (EWC). For example, the identification of …
driving the use of the European Waste Catalogue (EWC). For example, the identification of …
A study of feature extraction techniques for sentiment analysis
M Avinash, E Sivasankar - Emerging Technologies in Data Mining and …, 2019 - Springer
Sentiment analysis refers to the study of systematically extracting the meaning of subjective
text. When analyzing sentiments from the subjective text using machine learning techniques …
text. When analyzing sentiments from the subjective text using machine learning techniques …
Automatic grading for Arabic short answer questions using optimized deep learning model
M Abdul Salam, MA El-Fatah, NF Hassan - Plos one, 2022 - journals.plos.org
Auto-grading of short answer questions is considered a challenging problem in the
processing of natural language. It requires a system to comprehend the free text answers to …
processing of natural language. It requires a system to comprehend the free text answers to …
A novel method based on symbolic regression for interpretable semantic similarity measurement
J Martinez-Gil, JM Chaves-Gonzalez - Expert Systems with Applications, 2020 - Elsevier
The problem of automatically measuring the degree of semantic similarity between textual
expressions is a challenge that consists of calculating the degree of likeness between two …
expressions is a challenge that consists of calculating the degree of likeness between two …
A supervised machine learning approach for the credibility assessment of user-generated content
Consumers increasingly rely on online reviews to assist them in their buying decisions. The
rising popularity of e-commerce websites, hotel reviews, and social media has become a …
rising popularity of e-commerce websites, hotel reviews, and social media has become a …
Classification of proactive personality: Text mining based on weibo text and short-answer questions text
This study focused on the topic of predicting “proactive personality”. With 901 participants
selected by cluster sampling method, targeted short-answer questions text and participants' …
selected by cluster sampling method, targeted short-answer questions text and participants' …
Improving abusive language detection with online interaction network
The rapid development of online social media makes Abusive Language Detection (ALD) a
hot topic in the field of affective computing. However, most methods for ALD in social …
hot topic in the field of affective computing. However, most methods for ALD in social …
Modified TF-IDF term weighting strategies for text categorization
Text mining is a well-known technique in the domain of information retrieval which derives
high quality of information from the text. To develop strategies for such text processing, an …
high quality of information from the text. To develop strategies for such text processing, an …