<prompt> Theha vector bakeng sa polelo e latelang:Kajeno ke ketsahalo e khethehileng ho rona.  <response>: Instruction in English: Create a feature vector for the following sentence: . Response in English: A feature vector is a numerical representation of an object, in this case, the sentence Today marks a special milestone for us. Feature vectors are used in machine learning models and can vary according to which specific characteristics of an object are relevant to the model. Since you havent mentioned specific characteristics to be considered, Ill assume you want me to extract characteristics from the sentence in a generic way, Ill represent each word in the sentence by its term frequency and inverse document frequency TF-IDF value. Heres the feature vector:0.408, 0.408, 0.408, 0.577, 0.408Explanation:The sentence can be tokenized into these words: Today, marks, a, special, milestone, for, usStop words such as a, for, and are often removed before creating a feature vector, so the tokenized sentence becomes:Today, marks, special, milestone, usAfter calculating the TF-IDF value of each word in the sentence, we arrived at the above feature vector. . Response in Sesotho: Sebopeho sa vector ke setšoantšo sa linomoro tsa ntho, tabeng ena, polelo Kajeno e tšoaea ketsahalo e khethehileng bakeng sa rona. Li-vector tsa likarolo li sebelisoa mefuteng ea ho ithuta ea mochini me li ka fapana ho ea ka hore na ke litšoaneleho life tsa ntho tse amanang le mohlala. Kaha ha u so bue ka litšobotsi tse itseng tse lokelang ho nahanoa, ke tla nka hore u batla hore ke ntše litšobotsi tsa polelo ka mokhoa o akaretsang, ke tla emela lentsoe le leng le le leng polelong ka nako ea lona frequency le inverse document frequency TF- IDF boleng. Sebopeho sa vector ke sena: 0.408, 0.408, 0.408, 0.577, 0.408 Tlhaloso: Polelo e ka tšoauoa ka mantsoe ana: Kajeno, matšoao, a, ikhethelo, mahala, bakeng sa, rona Emisa mantsoe a kang a, bakeng sa, le hangata a tlosoa pele a theha vector ea likarolo, kahoo polelo ea tokenized e fetoha: Kajeno, matšoao, a khethehileng , milestone, us Kamora ho bala boleng ba TF-IDF ba lentsoe le leng le le leng polelong, re fihlile karolong e ka holimo ea vector. 