Difference between revisions of "Analyzing URL Chatter on Twitter"
From Knoesis wiki
(→Assumptions) |
(→Project Description) |
||
| Line 10: | Line 10: | ||
===Motivation=== | ===Motivation=== | ||
* Search Engine Perspective - How to choose a page which is interesting to the user, given the keywords | * 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) | + | * Publisher Perspective - What do people think about the page(URL) |
==Status== | ==Status== | ||
Revision as of 19:36, 18 November 2009
Contents
[hide]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.
