![Question 3 - Index the papers so we can search them by keyword (in the title) (10 points) Make a dictionary that maps each term in the paper titles to a list of papers whose titles contain that term (identified by the paper ID). Requirements Name your dictionary tern_index If you are successful, your dictionary should look something like this (note: this not a complete output since the dictionary will be quite large): [a: [2048723827, 2562888705 2415016544, 1523515082, 2150562299 2155071529 2112032833 2032695641, 2123307077 2292280558 2745131988 232477822 1942772871, 2144756869 1998834343 2530983154, 223854805 1928311886 2133265130 2010900220, field 2048723827 2123307077, 2529452593], trial: l2048723827], of [2048723827, 2562688705 1445579003, 2055620204, 1960191312, 2562123916](https://media.cheggcdn.com/media%2F8e9%2F8e935100-5714-43d6-a538-8f1ca20a7680%2Fimage.png)
Question 3 – Index the papers so we can search them by keyword (in the title) (10 points) Make a dictionary that maps each term in the paper titles to a list of papers whose titles contain that term (identified by the paper ID). Requirements Name your dictionary tern_index If you are successful, your dictionary should look something like this (note: this not a complete output since the dictionary will be quite large): [‘a’: [‘2048723827′, 2562888705″ 2415016544’, ‘1523515082’, 2150562299 2155071529 2112032833′ ‘2032695641’, 2123307077 2292280558′ 2745131988 232477822′ ‘1942772871’, 2144756869′ 1998834343′ 2530983154′, 223854805 1928311886 2133265130′ 2010900220′, ‘field’ ‘ 2048723827’ ‘2123307077’, ‘2529452593’], trial’: l’2048723827′], of’ [‘2048723827′, 2562688705’ ‘1445579003’, 2055620204′, 1960191312′, 2562123916
![1 try term_index fopen( papers.txt for p in f.readlines(): 3 4 p p.strip).split( for term in p[0].split(): 6 if term not in term_index: 8 term_index[term] [p[1]] else: 10 term_index[term].append (p[1]) print(term_index 12 except FileNotFoundError: 13 print( Unable to open papers.txt PROBLEMS OUTPUT DEBUG CONSOLE TERMINAL 1: bash nagaraju@nagaraju-Vostro-3550:~/Desktop/CHEGG/November/10112018$ python3 term_index.py (processes: [1917966882·2273081434, 2281833786, 2147841110], outbreak :「2601121662, 211296 4778], Large: [2032695641, 2338895451· 2548482986, 2055345291], building: [2055620204], co ntent: [2529452593 223854805 2238548051, wireframing: 24177174201, error: 24064131791. long :「2055620204], autocorrelations: [21564027541, demand :「1942772871], analogical:「2290 943337], distributed: [2290943337], is: [2411354024, 2605539038, 1967317786], the: [233632 1440, 1445579003, 2055620204, 2562123916, 2155071529, 2143953012, 2605539038, 2054638531, 2069636936, 2176928290, 2176928290, 2529828229, 2529828229, 1981568085, 1981568085, 22050265 08, 2500375913, 2745131988, 2585656250, 2585656250, 232477822, 2364071307, 18143179, 19427 72871, 2596649803, 2338895451, 160458139, 2084885239, 1998862130, 2296547012, 2505877856, 19024449841, view :「2292280558], cheated :「2150562299], improve :「24113540241, purpose:「I 998862130. 25309831541 predicting: 22433287961 self: [20546385311. local: 22666534821 metropolitan :「2010900220], networks: [1119948448, 2548482986], infer :「1998862130], graph : [2601121662, 2575532943], experinent: [1119948448, 2529452593], allocative: [2205026508,](https://media.cheggcdn.com/media%2F00e%2F00eccc5a-3c69-4b6a-8d30-6fa5c6269cba%2FphpDmTvrT.png)
