Dataanalyst Bootcamp Project1 Web Scraping
Aerial Image Analysis Research Papers
Every researcher needs an excellent platform where he can freely access the literature of various areas. Hence Google scholar is one of the best freely accessible search engines, which provides a wide variety of published literature in the form of articles, research papers, etc.
But sometimes, over choice leads to confusion. So Web Scraping is a method that provides a way to collect information from the website in a meaningful manner based on our interests.
In this project, we collect information about the research papers related to aerial image analysis. The implementation of this project will use the python library and Beautiful soup.
We will collect the information in the form of :
- Title of the paper
- Number of citation
- Author of the paper
- Year of Publication
- Place of Publication
We will store this information in the dictionary. And this dataset will be save as in a tabular database, in CSV format, and can be helpful for the literature survey in this area.
!pip install jovian --upgrade --quiet
#import the liberary import requests from time import sleep import re import pandas as pd from bs4 import BeautifulSoup