Difference between revisions of "Analyzing URL Chatter on Twitter"

Revision as of 19:34, 18 November 2009

Project Description

This project helps analyzing the urls available in the tweets with the theme. The data(Tweets) crawled for twitris project is being used.

Objectives

• Classify the content of the urls
• Understand user perception of the websites

Motivation

• Search Engine Perspective - How to choose a page which is interesting to the user, given the keywords
• Publisher Perspective - What do people think about the page(URL)

Status

Week 1

Programming Language:Java

• Extracting the Urls from the tweets - Done
• Recognizing the short/tiny Urls and transforming it into the long Urls. - Done

Week 2

Programming Language:Java

• Creating a table for the Urls and the tweets to store the urls - Done
• Analysing the urls with the presently available themes - Done

Week 3

Languages: Sql, Java(Servlets), JavaScript(Jquery), HTML, XML

• Queries for performing the related operations
• Working around with the Timeline javascript to integrate with the project

Week 4

• Integrating the code to show the desired results

Future work

• 1. Make sure the Url is not short by checking it recursively
• 2. Themes-Entity extraction from the tweets rather than using the present available themes
• 3. Provisions in the DB to know the popularity of the url at that particular theme.