A Web Scraping Methodology for Bypassing Twitter API Restrictions

03/27/2018
by   A. Hernandez-Suarez, et al.
0

Retrieving information from social networks is the first and primordial step many data analysis fields such as Natural Language Processing, Sentiment Analysis and Machine Learning. Important data science tasks relay on historical data gathering for further predictive results. Most of the recent works use Twitter API, a public platform for collecting public streams of information, which allows querying chronological tweets for no more than three weeks old. In this paper, we present a new methodology for collecting historical tweets within any date range using web scraping techniques bypassing for Twitter API restrictions.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/28/2023

What Sentiment and Fun Facts We Learnt Before FIFA World Cup Qatar 2022 Using Twitter and AI

Twitter is a social media platform bridging most countries and allows re...
research
06/18/2019

Unsupervised machine learning to analyse city logistics through Twitter

City Logistics is characterized by multiple stakeholders that often have...
research
07/04/2020

Sentiment Analysis on Social Media Content

Nowadays, people from all around the world use social media sites to sha...
research
01/17/2018

A Pipeline for Post-Crisis Twitter Data Acquisition

Due to instant availability of data on social media platforms like Twitt...
research
04/23/2019

Optimizing Search API Queries for Twitter Topic Classifiers Using a Maximum Set Coverage Approach

Twitter has grown to become an important platform to access immediate in...
research
06/22/2023

Tracking public attitudes toward ChatGPT on Twitter using sentiment analysis and topic modeling

ChatGPT sets a new record with the fastest-growing user base, as a chatb...
research
09/28/2022

Happy or grumpy? A Machine Learning Approach to Analyze the Sentiment of Airline Passengers' Tweets

As one of the most extensive social networking services, Twitter has mor...

Please sign up or login with your details

Forgot password? Click here to reset