Web Based Project 116

Twitter Trend Mining

 

  • The project is developed using Visual Studio with C# .Net as programming language.
  • There is only one entity who will have the access to the system, which is user.
  • The user will be allowed to search for the latest trends by inputting a keyword into search field.
  • Based on user provided keyword, the system will search for similar keywords in database and summarize the total count to provide the trending tweets on twitter.
  • The trending tweets with hashtag (#) will be displayed first and then the rest words will be displayed.
  • By clicking on every trending tweet, the user commented tweets would be displayed.
  • User can view all the tweets from the searched keyword.

    Trending Topics

One of the main features on the homepage of Twitter shows a list of top terms so-called trending topics at all times. These terms reflect the topics that are being discussed most at the very moment on the site’s fast-flowing stream of tweets. In order to avoid topics that are popular regularly (e.g., good morning or good night on certain times of the day), Twitter focuses on topics that are being discussed much more than usual, i.e., topics that recently suffered an increase of use, so that it trended for some reason.

Trending topics have attracted big interest not only among the users themselves but also among other information consumers such as journalists, real-time application developers, and social media researchers. Being able to know the top conversations being discussed at a given time helps keep updated about current affairs, and discover the main concerns of the community. Twitter defines trending topics as “topics that are immediately popular, rather than topics that have been popular for a while or on a daily basis”. However, no further evidence is known about the algorithm that extracts trending topics. It is assumed that the list is made up by terms that appear more frequently in the most recent stream of tweets than the usual expected.

Modules:

The system comprises of 4 major modules with its description as follows:

  1. Login:
  • User need to login first using valid credentials to access the system.
  1. Search for Latest Trends:
  • After successful login, user can search for latest trending tweets by entering the keyword in the search column.
  1. View Latest Trending Tweet:
  • Based on user-inputted keyword, the search results will be displayed in form of trending tweets.
  1. View Tweets:
  • User can click on respective trending tweet to view the message twitted by other users

Software Requirements:

  • Windows 7 or higher. 
  • SQL 2008
  • Visual studio 2010

Hardware Components:

  • Processor – i3
  • Hard Disk – 5 GB
  • Memory – 1GB RAM
  • Internet Connection

Advantages:

  • People will get to know about the trending tweets on tweeter.
  • System will allow user to input a keyword and search for trending tweet.
  • System will provide accurate results based on user-inputted keyword.
  • The system is error free
  • GUI is simple to understand.

Disadvantages:

  • Will provide inaccurate results if keyword not entered correctly 

Reference:

  • ieeexplore.ieee.org/iel7/6545867/6545949/06545966.pdf
  • https://www.google.co.in/url?sa=t&rct=j&q=&esrc=s&source=web&cd=6&cad=rja&uact=8&ved=0ahUKEwiR2bbL_I_TAhVGu48KHUQ0BzEQFggyMAU&url=http%3A%2F%2Fcucis.ece.northwestern.edu%2Fpublications%2Fpdf%2FLeePal11.pdf&usg=AFQjCNFo8_u6YiJFhnwOKV1RDN_yVIDT-Q&sig2=Fq3_jJ34fq6iDkQW3PVbNw&bvm=bv.152174688,d.c2I
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