{"repo":"iamgmujtaba/scholar_search","free":true,"listed":false,"github":"https://github.com/iamgmujtaba/scholar_search","clone":"git clone https://github.com/iamgmujtaba/scholar_search.git","description":"This project provides a tool for extracting and analyzing the quantity and distribution of scholarly articles related to a particular topic or field over a desired time span, using Google Scholar search results and built-in data visualization functionality.","language":"Jupyter Notebook","stars":15,"topics":["academia","academic","academic-papers","data-analysis","data-visualization","google","google-scholar","scholarly-articles"],"license":"MIT","category":"analytics","readme_excerpt":"Google Scholar Search Analytics: A Tool for Analyzing Historic Occurrence of Academic Papers Summary This particular code is designed to extract the number of results returned from Google Scholar for a given search query. The code then compiles this data into a CSV file, which can be used for further analysis or reference. Additionally, the code has built-in functionality to generate graphs and charts based on the data in the CSV file, making it easier to visualize trends or patterns in the search results. Overall, this code is a useful tool for researchers or academics looking to gain insight into the quantity and distribution of scholarly articles related to a particular topic or field. Requirements The code requires Python 3.0 or later and the following packages: - beautifulsoup4 - urllib3 - matplotlib - pandas Usage By customizing these search parameters, you can tailor the tool to your specific research needs and generate more targeted results. - query : the search query you wish to use. In this example, the query is set to 'deep learning'. - start year : the year from which you wish to start searching. In this example, the search is set to start in the year 2018. - end year : the year at which you wish to stop searching. In this example, the search is set to end in the year 2023. - as occt : this parameter determines where the search query should be found within the article. Set to 'any' to search for the query anywhere within the article or set 'title' for the query in","default_branch":null,"files":null,"tree":[],"storefront":"/r/iamgmujtaba","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/iamgmujtaba/scholar_search/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}