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1-Select either the biword index or positional index: I've decided to focus on the positional index, an extension of the inverted index, for this talk. The placement index is an important notion in information retrieval systems, particularly where the order and proximity of words in a text are important. 2-Provide a description of the index that you selected. As part of your description make sure that you describe why and how it is different than the inverted index: Unlike the standard inverted index, the positional index not only keeps the terms and the documents in which they occur, but it also remembers the location of each term inside those documents. In other words, it remembers where each keyword is in a text, allowing for more complex and exact searches based on the relative placement of terms (Cambridge UP, 2009). In an inverted index, you may know that a phrase appears in a document, but you won't know where. In contrast, the location index offers this critical information. It saves the phrase as well as the positions it appears in the text, resulting in a list of positions for each term (Cambridge UP, 2009). 3-Describe both where and when the index would it be used: - In circumstances where text organization is important, such as legal papers, where word placement inside sentences may substantially affect meaning. - When a user wishes to locate papers that include phrases in a specified sequence or vicinity - When doing linguistic analysis tasks such as sentiment analysis or examining language patterns, the context of word placement is crucial. - Insituations where accurate matching is critical, such as computer code searches, keyword order is critical. 4-Describe the advantage the index has over the inverted index: - Because it considers the location of phrases, the positional index improves the relevancy of search results by taking the context and structure of the text into consideration. - It makes it easier to get materials based on particular phrase queries, resulting in more exact and contextually appropriate results. - The positioning index is extremely useful for applications that need thorough linguistic or structural analysis, such as natural language processing or document summarization. - It offers more complex proximity searches using positional information, allowing users to identify documents where phrases are not only present but also close to one other.