What is Text Classification

1.

Classification of documents into a fixed number of predefined categories. Learn more in: Improving Customer Experience Using Sentiment Analysis in E-Commerce

2.

Text classification intends to categorize documents into a series of predefined thematic categories. In particular, it aims to find the mapping ?, from a set of documents D: {d1, …, di} to a set of thematic categories C: {C1, …, Cj}, i.e. ?: D ? C. Learn more in: On Document Representation and Term Weights in Text Classification

3.

Aims to assign pre-defined classes to textual documents. by building classification model which is able to assign the correct class to a new document in the domain, or in the training process the model learns the logic of how to make a prediction. Learn more in: Automatic Detection of Cyberbullying to Make Internet a Safer Environment

4.

Process of assigning classes (or labels) to textual data. Textual data can range from short phrases to much longer documents. Sometimes referred to as “text categorization”, a text classification task can be defined as follows: Given a set of documents D = {d1, d2,…,dn} and a set of classes C = {c1,c2,…,cm} assign a label from the set C to each element of set D. Learn more in: Machine Learning Approach to Search Query Classification

5.

The task of automatically assigning a set of text documents to a set of predefined classes. Learn more in: Improving Techniques for Naïve Bayes Text Classifiers

6.

automatic assigning a text with a tag, chosen from a set of tags. Learn more in: Machine Learning Applications in Mega-Text Processing

7.

The problem of automatically assigning predefined classes to text documents. Learn more in: Automatic Syllabus Classification Using Support Vector Machines