![]() Here’s an excerpted table of search operators taken from Twitter’s documentation about how to build a search query. There are many other operators that we can add to a query, which would allow us to collect tweets only from specific Twitter users or locations, or to only collect tweets that meet certain conditions, such as containing an image or being authored by a verified Twitter user. The simplest kind of query is a keyword search, such as the phrase “David Foster Wallace bro,” which should return any tweet that contains all of these words in any order - twarc2 search "David Foster Wallace bro". To collect tweets from the Twitter API, we need to make queries, or requests for specific kinds of tweets - e.g., twarc2 search *query*. What is a “David Foster Wallace bro”? Was DFW himself a “bro”? Who is using this phrase, how often are they using it, and why? We’re going to track this phrase and explore the varied viewpoints in this cultural conversation by analyzing tweets that mention “David Foster Wallace bro.” But other people have defended Wallace’s fans and the author against such charges. The Twitter conversation that we’re going to explore in this lesson is related to “Wallace bros” - fans of the author David Foster Wallace who are often described as “bros” or, more pointedly, “David Foster Wallace bros.”įor example, in Slate in 2015, Molly Fischer argued that David Foster Wallace’s writing - most famously his novel Infinite Jest - tended to attract a fan base of chauvinistic and misogynistic young men. “David Foster Wallace, Beloved Author of Bros” …has become lit-bro shorthand…Make a passing reference to the “David Foster Wallace fanboy” and you can assume the reader knows whom you’re talking about. Make an Interactive Network Visualization with Bokeh Tomotopy & Text Files (NYT Articles) - No Java required Term-Frequency Inverse Document Frequency Users’ Data: Legal & Ethical ConsiderationsĪpplication Programming Interfaces (APIs) Data Collection (Web Scraping, APIs, Social Media) append ( element ) else : tweetsToBeIgnored. strptime ( element, '%a %b %d %H:%M:%S %z %Y' ) if ( tweet_post_time >= range_start and tweet_post_time <= range_end ): tweetsToBeDeleted. TweetsToBeDeleted = tweetsToBeIgnored = for element in myData : tweet_post_time = datetime. # I am creating a list of tweet IDs for consideration, where tweetsToBeDeleted will be # Range (in UTC offset) within which tweets will be deleted DestroyStatus ( tweetId ) print ( "Deleted" ) except Exception as err : print ( "Exception: %s \n " % err ) Api ( consumer_key = CONSUMER_KEY, consumer_secret = CONSUMER_SECRET, access_token_key = ACCESS_TOKEN_KEY, access_token_secret = ACCESS_TOKEN_SECRET ) # =ĭef deleteTweet ( tweetId ): try : print ( "Deleting tweet #)". Import sys import time from datetime import datetime import os import twitter from dateutil.parser import parse import numpy as np import pandas as pd import json # =ĬONSUMER_KEY = "" CONSUMER_SECRET = "" ACCESS_TOKEN_KEY = "" ACCESS_TOKEN_SECRET = "" # =Īpi = twitter. Since we will want this file to be read in python, so we need to make it a JSON file, hence remove the first line ![]() ![]() The HTML file can be used to browse your tweets offline.īefore we use the code we need to make some changes in the tweets.js file located inside assets folderĬurrent twitter data download service lists all your tweet assets inside a tweet.js file as an array of objects. Go to if you have no existing app then create one.Īfter your app has been created go to it's "Details", make sure the permissions are assigned to Read, Write and Direct Messages, otherwise edit and make the changesĪfter that you need to generate the Consumer API key and Access TokensĪfter extracting the twitter data you will find two folders one is data and other is assets. To get you twitter data follow this link using desktop siteĪlternatively you can reach it from Settings & Privacy -> Account -> Download an archive of your twitter data (After request it will take up to 48 Hrs to make your data available for download) If you already have these two items in any csv file or any other form then you can skip this step. We will require twitter data to get two attributes of each tweet:. GitHub Link of Jupyter Notebook Prerequisite:. If you wanted to delete your old tweets within a given date range, this post will walk you through the steps using python-twitter & data obtained from your twitter profile ![]()
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