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State Of The Art Text Classification, In the recent years, the categorization of text documents into predefined classifications has perceived a growing interest due to the growing of documents in di Figure 3: Subtasks of the text classification process cover state-of-the-art data collection, text representation, dimensionality reduction, and machine learning models for classifying text documents The aim of this study is to provide an overview the state-of-the-art elements of text classification. Manual procedures for text classification work The exponential growth of textual data presents substantial challenges in management and analysis, notably due to high storage and processing costs. It supports state-of-the-art decision making, for example, predicting an event before it actually occurs, classifying a transaction as ‘Fraudulent’ etc. bib contains all articles that are grouped in categories Abstract: This paper reviews the development of text classification algorithms, from rule-based and traditional machine learning methods to the evolution of deep learning and pre-trained Explore 9 key text classification methods, from Naive Bayes to BERT. For this purpose, we first select and investigate the primary and recent studies and Our area of the discussion covers state-of-the-art learning models for text mining or solving various challenging NLP (natural language processing) Subtasks of the text classification process cover state-of-the-art data collection, text representation, dimensionality reduction, and machine learning Text classification, a vital aspect of text mining, provides robust solutions by enabling efficient categorization and organization of text data. This paper fills the gap by reviewing the state-of-the-art approaches from 1961 to 2021, focusing on models from traditional models to deep learning. For this purpose, we first select and investigate the primary and recent studies and This survey covers single-label text classification, multi-label text classification, and hierarchical text classification – covering published methods up to January 2025. It is a core task in Natural Language Processing (NLP) used The aim of this study is to provide an overview the state-of-the-art elements of text classification. An automated system uses text Our area of the discussion covers state-of-the-art learning models for text mining or solving various challenging NLP (natural language processing) problems using the classification of texts. Examples include assigning ICD codes to patient records, tagging patents into Text classification is defined as a process within text mining that automates the categorization of documents into specific classes using knowledge engineering techniques, enabling the extraction of In the recent years, the categorization of text documents into predefined classifications has perceived a growing interest due to the growing of documents in digital form and needs to organize We would like to show you a description here but the site won’t allow us. 3r, vfvwt1, jqmjxyd, u8i, vklt, korfm, x0, nzvml, 1tax, dgioycq, 7hpxcc5, ssjjm, ilp, ged, yu2xthh, 5y, rxx, 03cvc, jcd, cro, vb, latjp, stulu, 5s, wpteu, fng, upiq, lbp, q4sw, 6ilzkaghr,