Which you should exclude from your report

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Reference no: EM133703960

Question: In this task, you are tasked with performing semantic similarity analysis on a subset of the Jeopardy questions dataset. Your primary resource is the jeopardy questions.json file, which contains approximately 217,000 past Jeopardy questions. Given the dataset's size, you will limit your analysis to the first 10,000 questions. Focus exclusively on the 'question' field of each record, ignoring other entries like category and air-date. Begin by extracting the 'question' field from each record. Then, preprocess these ques- tions by converting them to lowercase, removing punctuation, and eliminating common stop-words, as these do not contribute significantly to semantic analysis. The next step involves one-hot encoding of the preprocessed text, converting it into a binary vector format suitable for quantitative analysis. With the one-hot encoded questions, calculate the cosine similarity between each pair of questions. Your objective is to identify the two questions that exhibit the highest degree of semantic similarity, as indicated by their cosine similarity score. Note that a cosine similarity score of 1 typically signifies identical questions, which you should exclude from your report.

Reference no: EM133703960

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