Publication Type:

Conference Proceedings

Source:

2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (2017)

Keywords:

Classification algorithms, Data mining, Decision Tree, electronic documents, Feature extraction, Indexing, kNN, mathematical model, Naive Bayes, neural network, Pattern classification, regression, Rocchio, Rule based, Support vector machines, SVM, text analysis, Text categorization, Text classification, text classification algorithms, text classification process, Text mining, textual documents, Training

Abstract:

Huge amount of data in today's world are stored in the form of electronic documents. Text mining is the process of extracting the information out of those textual documents. Text classification is the process of classifying text documents into fixed number of predefined classes. The application of text classification includes spam filtering, email routing, sentiment analysis, language identification etc. This paper discusses a detailed survey on the text classification process and various algorithms used in this field.

Cite this Research Publication

V. K. Vijayan, Bindu, K. R., and Dr. Latha Parameswaran, “A comprehensive study of text classification algorithms”, 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI). 2017.