<prompt> Etsa mohlala ho bontša kamoo tlhahlobo ea maikutlo e sebetsang kateng.nan  <response>: Instruction in English: Generate an example to illustrate how sentiment analysis works. . Response in English: Sentiment analysis is the process of using computer algorithms and natural language processing to identify, extract, and classify the emotions conveyed by a piece of text such as opinions, feelings, and attitudes.To illustrate how sentiment analysis works, lets consider the example of a hotel review left by a customer.Review: The hotel was in a great location, very clean and the staff were amazing, but the bed was uncomfortable and the towels were not soft at all.In this example, the sentiment analysis algorithm breaks the text down into its constituent parts, examining each sentence and phrase to identify the emotional content. It then uses machine learning techniques to classify each sentiment as positive, neutral or negative.The results of the sentiment analysis might look something like this:The hotel was in a great location, - Positivevery clean - Positiveand the staff were amazing, - Positivebut the bed was uncomfortable - Negativeand the towels were not soft at all. - NegativeOverall, the review contains three positive sentiments and two negative sentiments. These results can be used to calculate a sentiment score for the review, which in this case might be 1 3 positive sentiments - 2 negative sentiments. This score can then be used to determine the overall sentiment of the review, which in this case is mildly positive.By analyzing and classifying the emotions expressed in the review, sentiment analysis provides valuable insights into how the customer feels about their experience, allowing businesses to identify areas where they can improve their products and services. . Response in Sesotho: Tlhahlobo ea maikutlo ke mokhoa oa ho sebelisa li-algorithms tsa khomphutha le tsebetso ea puo ea tlholeho ho tsebahatsa, ho ntša, le ho hlophisa maikutlo a fetisoang ke sengoloa joalo ka maikutlo, maikutlo le maikutlo. Ho bontša hore na tlhahlobo ea maikutlo e sebetsa joang, a re nahaneng ka mohlala oa tlhahlobo ea hotele e siiloeng ke moreki. Tlhahlobo: hotele e ne e le sebakeng se setle, se hloekile haholo me basebetsi ba ne ba hlolla, empa bethe e ne e sa phutholoha me lithaole li ne li se bonolo ho hang. Mohlaleng ona, algorithm ea tlhahlobo ea maikutlo e arola sengoloa ka likarolo tsa eona, e lekola polelo le poleloana e ngoe le e ngoe ho tseba litaba tsa maikutlo. E ntano sebelisa mekhoa ea ho ithuta ka mochini ho hlophisa maikutlo ka ngoe e le a nepahetseng, a sa nke lehlakore kapa a fosahetseng. Liphetho tsa tlhahlobo ea maikutlo li ka shebahala tjena: hotele e ne e le sebakeng se setle, - E ntle e hloekile haholo - E ntle mme basebetsi ba ne ba hlolla, - E ntle empa bethe e ne e sa phutholoha - Negative le lithaole li ne li se bonolo ho hang. - Negative Ka kakaretso, tlhahlobo e na le maikutlo a mararo a matle le maikutlo a mabeli a fosahetseng. Liphetho tsena li ka sebelisoa ho bala lintlha tsa maikutlo bakeng sa tlhahlobo, eo tabeng ena e ka bang 1 maikutlo a 3 a nepahetseng - 2 maikutlo a fosahetseng. Joale lintlha tsena li ka sebelisoa ho fumana maikutlo a akaretsang a tlhahlobo, ao tabeng ena a leng molemo ka bonolo. Ka ho sekaseka le ho hlophisa maikutlo a hlahisitsoeng tlhahlobong, tlhahlobo ea maikutlo e fana ka leseli la bohlokoa mabapi le hore na moreki o ikutloa joang ka boiphihlelo ba bona, e lumella likhoebo ho tseba libaka tseo ba ka ntlafatsang lihlahisoa le litsebeletso tsa bona ho tsona. 