Text classification is a natural language processing technique used to identify the category or class to which a given text belongs. This technique is based on the use of machine learning algorithms to analyse and understand the content of texts.
To carry out the classification of texts, a previously labelled dataset is used, in which the category to which each text belongs is specified. From this dataset, a machine learning model is trained that can analyse new texts and classify them into the corresponding category.
Text classification is used in a wide variety of applications, such as categorising emails, identifying sentiment in social media comments, spam detection and document classification. This technique has proven to be very effective in processing large amounts of text data and can be used in conjunction with other natural language processing techniques to improve the accuracy and efficiency of text analysis.
Fraud detection software is an important tool for protecting companies and individuals from fraudulent activity and minimizing the risk of fraud.
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