TWITTER TREND ANALYSIS USING LATENT DIRICHLET ALLOCATION

    Technology    Java,Advance Java, My sql

    Category     Web Application

    Description


The community of users participating in social media tends to
share about common interests at the same time, giving rise to
what are known as social trends. A social trend reflects the
voice of a large number of users which, for some reason, becomes
popular in a specific moment. Through social trends, users
therefore suggest that some occurrence of wide interest is
taking place and subsequently triggering the trend. In this work,
we explore the types of triggers that spark trends on the microblogging
site Twitter, and introduce a typology that includes the following four
types: news, ongoing events, memes, and commemoratives. 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 will be displayed.
User can view all the tweets from the searched keyword.

   IEEE Paper 
   Yes
   IEEE Paper 
   Year2017