<prompt> Hlahisa tlhahiso e nepahetseng bakeng sa taelo e latelang: Koetlisa mokhoa oa ho hlahloba maikutlo ka sephutheloana sa litlhahlobo tsa lifilimi.Lethathamo la lithupelo le nang le maikutlo a lifilimi a nang le mangolo a maikutlo, joalo ka a nepahetseng, a fosahetseng kapa a sa nke lehlakore.  <response>: Instruction in English: Generate an appropriate input for the following instruction: Train a sentiment analysis model on a movie reviews dataset. . Response in English: Okay, to train a sentiment analysis model on a movie reviews dataset, you will need a labeled dataset of movie reviews. This dataset should include text reviews along with their corresponding sentiment labels, such as positive, negative or neutral. You can then input this dataset into a machine learning algorithm that will learn to classify movie reviews based on their sentiment. Would you like more information on this process or how to obtain such a dataset? . Response in Sesotho: Ho lokile, ho koetlisa mofuta oa tlhahlobo ea maikutlo ho pokello ea lintlha tsa libaesekopo, o tla hloka pokello ea lintlha tse ngotsoeng tsa maikutlo a lifilimi. Lethathamo lena la boitsebiso le tlameha ho kenyelletsa litlhahlobo tsa mongolo hammoho le lileibole tse tsamaellanang tsa maikutlo, joalo ka tse ntle, tse mpe kapa tse sa nke lehlakore. Joale o ka kenya dataset ena ho algorithm ea ho ithuta ka mochini e tla ithuta ho hlophisa maikutlo a lifilimi ho latela maikutlo a bona. A na u ka thabela lintlha tse ling mabapi le tsebetso ee kapa mokhoa oa ho fumana dataset e joalo? 