[HTML][HTML] A recent overview of the state-of-the-art elements of text classification
The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …
classification. For this purpose, we first select and investigate the primary and recent studies …
Sentiment analysis of Twitter data
Y Wang, J Guo, C Yuan, B Li - Applied Sciences, 2022 - mdpi.com
Twitter has become a major social media platform and has attracted considerable interest
among researchers in sentiment analysis. Research into Twitter Sentiment Analysis (TSA) is …
among researchers in sentiment analysis. Research into Twitter Sentiment Analysis (TSA) is …
A novel selective naïve Bayes algorithm
S Chen, GI Webb, L Liu, X Ma - Knowledge-Based Systems, 2020 - Elsevier
Naïve Bayes is one of the most popular data mining algorithms. Its efficiency comes from the
assumption of attribute independence, although this might be violated in many real-world …
assumption of attribute independence, although this might be violated in many real-world …
Detecting COVID-19 patients based on fuzzy inference engine and Deep Neural Network
COVID-19, as an infectious disease, has shocked the world and still threatens the lives of
billions of people. Recently, the detection of coronavirus (COVID-19) is a critical task for the …
billions of people. Recently, the detection of coronavirus (COVID-19) is a critical task for the …
A correlation-based feature weighting filter for naive Bayes
Due to its simplicity, efficiency, and efficacy, naive Bayes (NB) has continued to be one of the
top 10 algorithms in the data mining and machine learning community. Of numerous …
top 10 algorithms in the data mining and machine learning community. Of numerous …
Text classification techniques: A literature review
M Thangaraj, M Sivakami - Interdisciplinary journal of …, 2018 - search.proquest.com
Text Classification Techniques: A Literature Review Page 1 Volume 13, 2018 Accepted by
Editor Maureen Tanner│ Received: July 7 3, 2017│ Revised: October 31, 2017, January …
Editor Maureen Tanner│ Received: July 7 3, 2017│ Revised: October 31, 2017, January …
Hybridizing Gray Wolf Optimization (GWO) with Grasshopper Optimization Algorithm (GOA) for text feature selection and clustering
R Purushothaman, SP Rajagopalan… - Applied Soft …, 2020 - Elsevier
Text analysis in the field of text mining requires complex techniques for handling several text
documents. Text clustering is among the most effective tactics in the field of text mining …
documents. Text clustering is among the most effective tactics in the field of text mining …
Data-driven approach for fault detection and diagnostic in semiconductor manufacturing
SKS Fan, CY Hsu, DM Tsai, F He… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Fault detection and classification (FDC) is important for semiconductor manufacturing to
monitor equipment's condition and examine the potential cause of the fault. Each equipment …
monitor equipment's condition and examine the potential cause of the fault. Each equipment …
Using differential evolution for fine tuning naïve Bayesian classifiers and its application for text classification
Abstract The Naive Bayes (NB) learning algorithm is simple and effective in many domains
including text classification. However, its performance depends on the accuracy of the …
including text classification. However, its performance depends on the accuracy of the …
Using machine learning to predict the sentiment of online reviews: a new framework for comparative analysis
Online reviews are becoming increasingly important for decision-making. Consumers often
refer to online reviews for opinions before making a purchase. Marketers also acknowledge …
refer to online reviews for opinions before making a purchase. Marketers also acknowledge …