年度113
等級
書名Text Mining Techniques and Natural Language Processing
部分章節Text mining is an important branch of data mining that is used to analyze the text data. Text data is any type of data like structured data, unstructured data, and semi-structured data. All types of data are collected from different sources such as multimedia applications, mobile apps, digital systems, etc. These data are beneficial to get a good insight, meaningful results. We use data mining techniques like Support Vector Machine (SVM), Random Forest (RF), Multilayer Perception (MLP), Naive Bayes (NB), etc. to analyze the hidden relationship between data. We use three kinds of data types in text mining.
出版社John Wiley & Sons
全部作者Tzu-Chia Chen
出版日期2025-01-10
ISSN(ISBN)9781394272440
所屬計畫案Text Mining Techniques and Natural Language Processing
備註專書單篇