Text Classification Algorithms: A Survey
In recent years, there has been an exponential growth in the number of complex documents and texts that require a deeper understanding of machine learning methods to be able to accurately classify texts in many applications. Many machine learning approaches have achieved surpassing results in natura...
Main Authors: | Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa, Sanjana Mendu, Laura Barnes, Donald Brown |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-04-01
|
Series: | Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2078-2489/10/4/150 |
Similar Items
-
Customizing Feature Decision Fusion Model using Information Gain, Chi-Square and Ordered Weighted Averaging for Text Classification
by: Mohammad Ali Ghaderi, et al.
Published: (2011-06-01) -
Text categorization with WEKA: A survey
by: Donatella Merlini, et al.
Published: (2021-06-01) -
A Case Study in Text Mining of Discussion Forum Posts: Classification with Bag of Words and Global Vectors
by: Cichosz Paweł
Published: (2018-12-01) -
Improving Term Weighting Schemes for Short Text Classification in Vector Space Model
by: Surender Singh Samant, et al.
Published: (2019-01-01) -
A Fusion Model-Based Label Embedding and Self-Interaction Attention for Text Classification
by: Yanru Dong, et al.
Published: (2020-01-01)