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[Solved]Python 3 Help Sorry Long Question Could Break Parts S Based Like Sequence Please Answer Pr Q37069110

Python 3 Help:

Sorry this is a long question, I could not break it into partsbecause it’s all based on each other like a sequence. Please onlyanswer if you can provide info of all parts. Please providepictures of code rather than copy paste for spacing purposes

I have provided google doc of the txt file that I have:

https://docs.google.com/document/d/1UlFUN-lU1EjI01PLTyyVk-kkv225ZWkxEhFiZ8fRhQM/edit?usp=sharing

Open the file research-papers.txt and read it’s contentsinto a list.Name the list papers. If you are successful, your list should look something like this (note: this not a complete output sinc

Make a dictionary that maps paper IDs to papertitles

Go through the list of papers and make a dictionary that maps paper IDs (as keys) to paper titles (as values). Name your dict

Index the papers so we can search them by keyword (inthe title) Make a dictionary that maps each termin the paper titles to a list of papers whose titles contain thatterm (identified by the paper ID).

Requirements:

  • Name your dictionary term_index

If you are successful, your dictionary should look somethinglike this (note: this not a complete output since the dictionarywill be quite large):

(а: [2048723827, 2562688705, 2415016544, 1523515082, 2150562299 2155071529, 2112032833, 2032695641, 2123307077 22922Name the list papers. If you are successful, your list should look something like this (note: this not a complete output since the list will be quite large): [‘a field trial of privacy nudges for facebook | 2048723827 11 alessandro acquisti’, a query theory perspective of privacy decision making || 2562688705 alessandro acquisti’ an experiment in hiring discrimination via online social networks | 1119948448 alessandro acquisti beyond the privacy paradox objective versus relative risk in privacy decision making 2336321440|l alessan dro acquisti’, 11 1445579003 11 alessandro acquisti, 055620204 alessandro acquisti beyond the turk an empirical comparison of alternative platforms for crowdsourcing online behavioral research building the security behavior observatory an infrastructure for long term monitoring of client machines |1 2 # Your code here Go through the list of papers and make a dictionary that maps paper IDs (as keys) to paper titles (as values). Name your dictionary paper_titles. If you are successful, your dictionary should look something like this (note: this not a complete output since the dictionary will be quite large): ‘2048723827’: ‘a field trial of privacy nudges for facebook’, 2562688705′: ‘a query theory perspective of privacy decision making’ 1119948448′: ‘an experiment in hiring discrimination via online social networks, 2336321440′: beyond the privacy paradox objective versus relative risk in privacy decision making 1445579003′: beyond the turk an empirical comparison of alternative platforms for crowdsourcing online behav ioral research’, 2055620204′: ‘building the security behavior observatory an infrastructure for long term monitoring of client machines, 2337976014’: ‘choice architecture framing and cascaded privacy choices’ : # Your code here (‘а’: [“2048723827′, 2562688705′, 2415016544″, 1523515082″, 2150562299 2155071529′, 2112032833, 2032695641′, 2123307077 2292280558, 2745131988, 232477822″, 1942772871, 2144756869′ 1998834343, 2530983154″, 223854805, 1928311886′ 2133265130, 2010900220′, field’: [‘2048723827″, 2123307077′,”2529452593′, trial’: [‘2048723827’1, of’: [ 2048723827″, 2562688705, 1445579003″, 2055620204″, 1960191312”, 2562123916′, # Your code here Show transcribed image text Name the list papers. If you are successful, your list should look something like this (note: this not a complete output since the list will be quite large): [‘a field trial of privacy nudges for facebook | 2048723827 11 alessandro acquisti’, a query theory perspective of privacy decision making || 2562688705 alessandro acquisti’ an experiment in hiring discrimination via online social networks | 1119948448 alessandro acquisti beyond the privacy paradox objective versus relative risk in privacy decision making 2336321440|l alessan dro acquisti’, 11 1445579003 11 alessandro acquisti, 055620204 alessandro acquisti beyond the turk an empirical comparison of alternative platforms for crowdsourcing online behavioral research building the security behavior observatory an infrastructure for long term monitoring of client machines |1 2 # Your code here
Go through the list of papers and make a dictionary that maps paper IDs (as keys) to paper titles (as values). Name your dictionary paper_titles. If you are successful, your dictionary should look something like this (note: this not a complete output since the dictionary will be quite large): ‘2048723827’: ‘a field trial of privacy nudges for facebook’, 2562688705′: ‘a query theory perspective of privacy decision making’ 1119948448′: ‘an experiment in hiring discrimination via online social networks, 2336321440′: beyond the privacy paradox objective versus relative risk in privacy decision making 1445579003′: beyond the turk an empirical comparison of alternative platforms for crowdsourcing online behav ioral research’, 2055620204′: ‘building the security behavior observatory an infrastructure for long term monitoring of client machines, 2337976014’: ‘choice architecture framing and cascaded privacy choices’ : # Your code here
(‘а’: [“2048723827′, 2562688705′, 2415016544″, 1523515082″, 2150562299 2155071529′, 2112032833, 2032695641′, 2123307077 2292280558, 2745131988, 232477822″, 1942772871, 2144756869′ 1998834343, 2530983154″, 223854805, 1928311886′ 2133265130, 2010900220′, field’: [‘2048723827″, 2123307077′,”2529452593′, trial’: [‘2048723827’1, of’: [ 2048723827″, 2562688705, 1445579003″, 2055620204″, 1960191312”, 2562123916′, # Your code here

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