[SOLVED] 留学生辅导 IFN647 Workshop (Week 5)

IFN647 Workshop (Week 5)
Inverted Index and Query Processing
Task 1. For the given two XML documents (you can download them from week 3 workshop and then save them in a folder, e.g., ¡®data¡¯), design a python function index_docs() to index them (please remove stop words and index stems only). The returned index should be a dictionary {term:{docID1:freq1, DocID2:freq2}, …}
The following are a sample of outcomes, where ¡®6146¡¯ and ¡®741299¡¯ are the document id, respectively.

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Index = {‘argentin’: {‘6146’: 1}, ‘bond’: {‘6146’: 1}, ‘slight’: {‘6146’: 2}, ‘higher’: {‘6146’: 1}, ‘small’: {‘6146’: 1}, ‘technic’: {‘6146’: 2}, ‘bounc’: {‘6146’: 2}, ‘wednesday’: {‘6146’: 1}, …, ‘time’: {‘741299’: 1}, ‘abl’: {‘741299’: 1}, ‘push’: {‘741299’: 1}, ‘hard’: {‘741299’: 1}, ‘big’: {‘741299’: 1}, ‘third’: {‘741299’: 1}, ‘finish’: {‘741299’: 1}, ‘porsch’: {‘741299’: 1}, ‘franc’: {‘741299’: 1}, ‘bob’: {‘741299’: 1}, ‘wollek’: {‘741299’: 1}, ‘yannick’: {‘741299’: 1}, ‘dalma’: {‘741299’: 1}, ‘belgian’: {‘741299’: 2}, ‘thierri’: {‘741299′: 1}, ’boutsen’: {‘741299’: 1}, ‘former’: {‘741299’: 1}, ‘formula’: {‘741299’: 1}, ‘one’: {‘741299’: 1}, ‘driver’: {‘741299’: 1}, ‘switch’: {‘741299’: 1}, ‘normal’: {‘741299’: 1}, ‘share’: {‘741299’: 1}, ‘han’: {‘741299’: 1}, ‘stuck’: {‘741299’: 1}, ‘follow’: {‘741299’: 1}, ‘power’: {‘741299’: 1}, ‘steer’: {‘741299’: 1}, ‘failur’: {‘741299’: 1}}
Task 2. Design a python function doc_at_a_time(I, Q), where index I is a Dictionary of term:Directionary of (itemId:freq), which returns a dictionary of docId:relevance for the given query Q (a term:freq dictionary).
Task 3. Design a python function term_at_a_time(I, Q), where index I is a Dictionary of term:Directionary of (itemId:freq), which returns a dictionary of docId:relevance for the given query Q (a term:freq dictionary).
Task 4. Design a python main program to call the above three functions for a query, e.g., Query = {‘formula’:1, ‘one’:1}.

The sample outputs:
Document_at_a_time result——
Document ID: 741299 and relevance weight: 2
Term_at_a_time result ——
Document ID: 741299 and relevance weight: 2

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