Crawling through web to extract the data from Social networking site - Twitter

Massive amount of data available on web has created a new research buzz. In recent years, Twitter a micro blogging site has become an exclusive tool for every updates over the world. It is a place where people gather and confer their interests. This high variant data present in sites has increased t...

Full description

Saved in:
Bibliographic Details
Published in:2015 National Conference on Parallel Computing Technologies (PARCOMPTECH) pp. 1 - 6
Main Authors: Purohit, Narashima S., Angadi, Akshata B., Bhat, Meghana, Gull, Karuna C.
Format: Conference Proceeding
Language:English
Published: IEEE 01.02.2015
Subjects:
API (Application Programming Interface)
Authentication
Data mining
Facebook
IE (Information Extraction)
JSON (Java Script Object Notation)
OSN (Online Social Networking)
Servers
Twitter
XML
ISBN:1479969168, 9781479969166
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Massive amount of data available on web has created a new research buzz. In recent years, Twitter a micro blogging site has become an exclusive tool for every updates over the world. It is a place where people gather and confer their interests. This high variant data present in sites has increased the prospect of predictions about specific outcomes, without introducing the whole market mechanics. Extracting such data and Analyzing it is an issue in present era. The drastic rise and sudden blast of social media in recent years has put pressure on organizations to implement social media across their business. The paper mainly concentrates on extracting data like tweets, user information from Social networking site i.e. Twitter. It gives a comprehensive process of extraction this in-turn helps students to learn how the vibrant and formless data can be mined from the Social networking site. Further it helps to develop an algorithm for analysis that suits better to improve the marketing tactics. Author proposed a model to reveal general application steps. Thus the main motto of writing this paper is to uplift the students to start with the development of new applications using the crawled data from SNS.
ISBN:1479969168
9781479969166
DOI:10.1109/PARCOMPTECH.2015.7084522