<prompt> Hlalosa phapang lipakeng tsa lihlopha tsa mongolo le lihlopha tsa mongolo.nan  <response>: Instruction in English: Explain the difference between text classification and text clustering. . Response in English: Text classification and text clustering are two common techniques used in the field of natural language processing, which deal with organizing and categorizing text documents. There are several key differences between the two techniques.Text classification, also known as text categorization, is the process of assigning pre-defined categories, or labels, to a text document based on its content. This is done through the use of machine learning algorithms that are trained on a dataset of labeled documents. Text classification is a supervised learning technique, meaning that the algorithm learns from this labeled training data and makes predictions on new, unseen data. Examples of text classification include email spam detection, sentiment analysis of product reviews, and genre classification of books.On the other hand, text clustering, also known as document clustering, is an unsupervised learning technique that involves grouping text documents based on their similarity. Unlike text classification, text clustering doesnt require pre-defined categories or labels. Instead, the algorithm identifies patterns and groups similar documents together based on their content. This can be useful for organizing large collections of documents, identifying common themes or topics, and discovering previously unknown relationships between documents.In summary, the key difference between text classification and text clustering lies in the approach to categorization. Text classification uses pre-defined labels and is a supervised learning technique, while text clustering does not require pre-labeled data and is an unsupervised learning technique. Both techniques have their own unique applications and can be used to gain valuable insights from collections of text documents. . Response in Sesotho: Karolelano ea mongolo le pokello ea mongolo ke mekhoa e meli e tloaelehileng e sebelisoang lefapheng la tsebetso ea puo ea tlhaho, e sebetsanang le ho hlophisa le ho arola litokomane tsa mongolo. Ho na le liphapang tse maloa tsa bohlokoa lipakeng tsa mekhoa e meli. Karolelano ea mongolo, eo hape e tsejoang e le karohano ea mongolo, ke mokhoa oa ho abela likarolo tse boletsoeng esale pele, kapa lileibole, tokomaneng ea mongolo ho latela litaba tsa eona. Sena se etsoa ka tšebeliso ea li-algorithms tsa ho ithuta ka mochini tse koetliselitsoeng pokellong ea data ea litokomane tse ngotsoeng. Ho hlophisoa ha mongolo ke mokhoa oa ho ithuta o hlokometsoeng, ho bolelang hore algorithm e ithuta ho tsoa ho data ena ea koetliso e ngolisitsoeng mme e etsa likhakanyo ho data e ncha, e sa bonahaleng. Mehlala ea ho hlophisoa ha mongolo e kenyelletsa ho lemoha spam ea lengolo-tsoibila, tlhahlobo ea maikutlo mabapi le maikutlo a tlhahlobo ea lihlahisoa, le mofuta oa libuka. Ka lehlakoreng le leng, pokello ea mongolo, e tsejoang hape e le pokello ea litokomane, ke mokhoa oa ho ithuta o sa laoleheng o kenyelletsang ho hlophisa litokomane tsa mongolo ho latela ho tšoana ha tsona. Ho fapana le ho hlophisoa ha mongolo, ho kopanya mongolo ha ho hloke likarolo kapa lileibole tse boletsoeng esale pele. Ho e-na le hoo, algorithm e khetholla mekhoa le lihlopha tsa litokomane tse tšoanang hammoho ho latela litaba tsa tsona. Sena se ka ba molemo bakeng sa ho hlophisa pokello e kholo ea litokomane, ho khetholla lihlooho kapa lihlooho tse tloaelehileng, le ho fumana likamano tse neng li sa tsejoe nakong e fetileng lipakeng tsa litokomane. Ka bokhutsoane, phapang e kholo lipakeng tsa karohano ea lingoloa le pokello ea lingoloa e mabapi le mokhoa oa ho arola lihlopha. Karolelano ea mongolo e sebelisa lileibole tse seng li hlalositsoe me ke mokhoa oa ho ithuta o hlokometsoeng, athe pokello ea mongolo ha e hloke data e ngolisitsoeng pele ebile ke mokhoa oa ho ithuta o sa laoleheng. Mekhoa ena ka bobeli e na le tsebeliso ea eona e ikhethang mme e ka sebelisoa ho fumana leseli la bohlokoa ho tsoa pokellong ea litokomane tsa mongolo. 