Open AccessPERFECTIONOF CLASSIFICATION ACCURACY IN TEXT CATEGORIZATION
Author(s) -
Rajeev Tripathi
Publication year - 2021
Publication title -
international journal of advanced research
Language(s) - English
Resource type - Journals
ISSN - 2320-5407
DOI - 10.21474/ijar01/13437
Subject(s) - computer science , categorization , text categorization , information retrieval , big data , sentiment analysis , natural language processing , text mining , artificial intelligence , data science , data mining
Problems and strategies for text classification have already been known for a long time. Theyre widely utilised by companies like Google and Yahoo for email spam screening, sentiment analysis of Twitter data, and automatic news categories in Google alerts. Were still working on getting the findings to be as accurate as possible. When dealing with large amounts of text data, however, the models performance and accuracy become a difficulty. The type of words utilised in the corpus and the type of features produced for classification have a big impact on the performance of a text classification model.