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Text Classification Examples Some of the most well-known examples of text classification include sentiment analysis, topic labeling, language detection, and intent detection.

Text Classification is the process of categorizing text into one or more different classes to organize, structure, and filter into any parameter. For example, text classification is used in legal documents, medical studies and files, or as simple as product reviews.

Text classification makes it possible to assign predefined categories to a document and organize it to help you find the information you need or simplify some activities. For example, an application of text categorization is spam filtering in email.

The text types are broken into three genres: Narrative, Non- fiction and poetry. Each of these genres has then been sub-divided into specific text types such as adventure, explanation or a specific form of poetry, e.g. haiku. Narrative is central to children's learning.

Text classification also known as text tagging or text categorization is the process of categorizing text into organized groups.

Text classification is a sub-task of document classification and deals specifically with text. This can be a sentence, a paragraph, or even an entire document (text-only). Additionally, text classification is generally more complex than document classification because there is often less context to work with.

These are short, famous texts in English from classic sources like the Bible or Shakespeare. Some texts have word definitions and explanations to help you. Some of these texts are written in an old style of English.

Text Classification can be achieved through three main approaches: Rule-based approaches. These approaches make use of handcrafted linguistic rules to classify text. ... Machine learning approaches. We can use machine learning to train models on large sets of text data to predict categories of new text. ... Hybrid approaches.