<prompt> Theha algorithm ho bona li-imeile tsa spam.nan  <response>: Instruction in English: Create an algorithm to detect spam emails. . Response in English: Here is an example of an algorithm that could be used to detect spam emails:1. Initialize a list of common spam keywords and phrases such as lottery winner, free money, get rich quick, etc.2. Scan the email subject and body for the presence of these keywords and phrases, and for any exaggerated punctuation such as multiple exclamation marks.3. Analyze the senders email address to determine if its from a known, reputable source or if it appears to be suspicious.4. Check if the email includes links to external websites, and if these links lead to legitimate URLs or to potentially unsafe pages.5. Verify if the email contains a request or demand for personal information or payments6. If the email has attachments, scan them for potential viruses or malware.7. Calculate a spam score based on the presence of the above factors. If the score exceeds a certain threshold, flag the email as spam.8. Add the flagged email addresses to a blacklist, and block their future emails.9. Regularly update the list of spam keywords and phrases, as well as the list of reputable and suspicious senders, to improve the accuracy of the algorithm. . Response in Sesotho: Mohlala ke ona oa algorithm e ka sebelisoang ho bona li-imeile tsa spam: 1. Qala lethathamo la mantsoe a bohlokoa a spam le lipoleloana tse kang mohlodi wa lothari, chelete ea mahala, rui kapele, joalo-joalo. sehlooho sa lengolo-tsoibila le mele bakeng sa boteng ba mantsoe le lipoleloana tsena, le bakeng sa matšoao afe kapa afe a fetelletseng joalo ka matšoao a mangata a ho makatsa. 3. Sekaseka aterese ea lengolo-tsoibila ea motho ea e rometseng ho bona hore na e tsoa mohloling o tsebahalang, o nang le botumo bo botle kapa ho bonahala eka oa belaella. 4. Sheba hore na lengolo-tsoibila le kenyelletsa likhokahano tsa liwebsaete tsa kantle, le hore na likhokahano tsena li lebisa ho li-URL tse molaong kapa maqepheng a ka bang kotsi. 5. Netefatsa haeba lengolo-tsoibila le na le kopo kapa tlhoko ea lintlha tsa hau kapa litefo 6. Haeba lengolo-tsoibila le na le liphutheloana, li hlahlobe bakeng sa livaerase tse ka bang teng kapa malware. 7. Bala lintlha tsa spam ho latela boteng ba lintlha tse ka holimo. Haeba lintlha li feta moeli o itseng, tšoaea lengolo-tsoibila e le spam. 8. Kenya liaterese tsa lengolo-tsoibila tse tšoailoeng lethathamong la batho ba sa tsebeng letho, me u thibele li-imeile tsa bona tsa kamoso. 9. Kamehla u ntlafatse lethathamo la mantsoe a bohlokoa a spam le lipoleloana, hammoho le lenane la ba romellang ba hlomphehang le ba belaetsang, ho ntlafatsa ho nepahala ha algorithm. 