Results 161 to 170 of about 6,292,584 (225)

Modified DFS-based term weighting scheme for text classification

Expert Systems With Applications, 2021
With the rapid growth of textual data on the Internet, text classification (TC) has attracted increasing attention. As a widely used text representation method, the vector space model (VSM) represents the content of a document as a vector composed of ...
Long Chen, Liangxiao Jiang, Chaoqun Li
semanticscholar   +3 more sources

Term Weighting Schemes for Question Categorization

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011
Term weighting has proven to be an effective way to improve the performance of text categorization. Very recently, with the development of user-interactive question answering or community question answering, there has emerged a need to accurately categorize questions into predefined categories.
Xiaojun, Quan, Wenyin, Liu, Bite, Qiu
openaire   +4 more sources

Several alternative term weighting methods for text representation and classification

Knowledge-Based Systems, 2020
Text representation is one kind of hot topics which support text classification (TC) tasks. It has a substantial impact on the performance of TC. Although the most famous TF–IDF is specially designed for information retrieval rather than TC tasks, it is ...
Zhong-Sen Tang, Wenqiang Li, Yan Li, Wu Zhao, Song Li   +4 more
semanticscholar   +3 more sources

Improved inverse gravity moment term weighting for text classification

Expert Systems With Applications, 2019
Text classification is one of the popular high dimensional classification problems where providing better feature vector representations explicitly improve classification performances.
Turgut Dogan, A. Uysal
semanticscholar   +3 more sources

Turning from TF-IDF to TF-IGM for term weighting in text classification

Expert Systems With Applications, 2016
A new supervised term weighting scheme called TF-IGM is proposed.It adopts a new statistical model to measure a term's class distinguishing power.It makes full use of the fine-grained term distribution across different classes.It is adaptive to different
Kewen Chen, Zuping Zhang, J. Long, H. Zhang   +3 more
semanticscholar   +3 more sources

Novel term weighting schemes for document representation based on ranking of terms and Fuzzy logic with semantic relationship of terms

Expert Systems With Applications, 2019
Weighting and normalization are the most important factor that may affect the text representation significantly. This paper presents two novel term weighting schemes to represent text documents, namely, i).
R. Lakshmi, S. Baskar
semanticscholar   +3 more sources

A machine learning-based sentiment analysis of online product reviews with a novel term weighting and feature selection approach

Information Processing and Management, 2021
Huiliang Zhao, Zhenghong Liu, Xuemei Yao, Qin Yang   +3 more
semanticscholar   +3 more sources

Using modified term frequency to improve term weighting for text classification

Engineering Applications of Artificial Intelligence, 2021
Long Chen, Liangxiao Jiang, Chaoqun Li
semanticscholar   +3 more sources

Ensemble of Classifiers and Term Weighting Schemes for Sentiment Analysis in Turkish

Scientific Research Communications, 2021
With the advancement of information and communication technology, social networking and microblogging sites have become a vital source of information. Individuals can express their opinions, grievances, feelings, and attitudes about a variety of topics ...
Aytuğ Onan
semanticscholar   +1 more source

The impact of term-weighting schemes and similarity measures on extractive multi-document text summarization

Expert systems with applications, 2021
Automatic text summarization is currently a topic of great interest in many knowledge fields. Extractive multi-document text summarization methods aim to reduce the textual information from a document collection by covering the main content and reducing ...
Jesús M. Sánchez-Gómez, M. A. Vega-Rodríguez, C. J. Pérez   +2 more
semanticscholar   +1 more source