2. Assessment Description Text documents, such as long recordings and meeting transcripts, are usually comprised of topically coherent text segments, each of which contains some number of text passages. Within each topically coherent segment, one would expect that the word usage demonstrates more consistent lexical distributions than that across segments. A linear partition of texts into topic segments can be used for text analysis tasks, such as passage retrieval in IR, document summarization, and discourse analysis. In this assessment, you are required to write Python code to preprocess a set of meeting transcripts and convert them into numerical representations suitable for input into topic segmentation algorithms. This is an individual assignment and worth 30% of your total mark for FIT5196. The detailed tasks are as follows: Task 1: Reconstruct meeting transcripts with topical boundaries. The original meeting transcripts are stored in three different t...
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