<prompt> Tloo le mehlala e 5 ea li-dataset tse bontšang tšebeliso ea puo ea tlhaho.  <response>: Instruction in English: Come up with 5 example datasets that demonstrate the use of natural language processing. . Response in English: 1. Sentiment Analysis: As a dataset comprising of social media posts, product reviews or customer feedback collected from online platforms, it could be used to determine sentiment polarity in these texts. Using natural language processing, this dataset would help classify whether the sentiments expressed are positive, negative, or neutral.2. Chatbots and Conversational Agents: This dataset would contain customer queries, requests or complaints typically received by a company alongside pre-written responses to these messages. NLP could be employed to comprehend customer texts in order to generate intelligent, human-like responses.3. Speech Recognition: A dataset of audio recordings and their corresponding transcriptions could be used to train an NLP model to identify spoken words, decipher different accents and ultimately convert speech to text.4. Machine Translation: Compiling a dataset containing sentences in one language alongside translations of these sentences in another language, NLP could be used to develop models that can translate human language with high accuracy.5. Text Classification: For this dataset, text documents or paragraphs are labeled according to specific categories. NLP models could be trained on this data so as to accurately categorize future documents, for instance, classifying whether an email is spam, or sorting news articles by topic or genre. . Response in Sesotho: 1. Tlhahlobo ea Maikutlo: Joalo ka pokello ea lintlha e nang le litaba tsa mecha ea litaba ea sechaba, maikutlo a lihlahisoa kapa maikutlo a bareki a bokelletsoeng sethaleng sa marang-rang, e ka sebelisoa ho fumana maikutlo a fapaneng litemaneng tsena. Ka ho sebelisa puo ea tlhaho, datha ena e tla thusa ho hlophisa hore na maikutlo a hlahisoang ke a matle, a mabe, kapa a sa nke lehlakore. 2. Lipuisano le Baemeli ba Lipuisano: Lethathamo lena la boitsebiso le tla ba le lipotso tsa bareki, likopo kapa litletlebo tseo hangata li amoheloang ke khamphani hammoho le likarabo tse ngotsoeng esale pele tsa melaetsa ena. NLP e ka sebelisoa ho utloisisa litemana tsa bareki e le ho hlahisa likarabo tse bohlale, tse kang tsa batho. 3. Temoho ea Puo: Lethathamo la lintlha tsa lirekoto tsa molumo le lingoliloeng tse tsamaellanang le tsona li ka sebelisoa ho koetlisa mohlala oa NLP ho khetholla mantsoe a buuoang, ho manolla melumo e fapaneng ea melumo le ho fetolela puo ho ea ho mongolo. 4. Phetolelo ea Mochini: Ho bokella boitsebiso bo nang le lipolelo tsa puo e le ngoe hammoho le liphetolelo tsa lipolelo tsena ka puo e ngoe, NLP e ka sebelisoa ho hlahisa mefuta e ka fetolelang puo ea batho ka nepo e phahameng. 5. Karolelano ea Lingoliloeng: Bakeng sa datha ena, litokomane tsa mongolo kapa lirapa li ngotsoe ho latela mekhahlelo e itseng. Mefuta ea NLP e ka koetlisoa ka lintlha tsena ho arola litokomane tsa nako e tlang ka nepo, mohlala, ho hlophisa hore na lengolo-tsoibila ke spam, kapa ho hlophisa lingoliloeng ho latela sehlooho kapa mofuta. 