11-04-2017, 05:06 PM
Please somebody help me here is the project abstract:
Online movie prediction application is an online web application
which predicts whether a movie will be hit or flop by using the
data mining. In this project we are using a mathematical
algorithm that will check whether a particular movie will collect
how much public reaction based on our own predefined
parameters such as name of actors, actress, director, music that
influences the success or failure of a movie is given is due to
weight age and then based on multiple thresholds calculated on
the basis of descriptive statistics of dataset of each component it
is given class flop, hit, super hit label. The system i have
developed has its own database of movie details. Admin will add
movies data of a particular film crew. Admin will add new
movie data along with film crew details as well as release date
of the new movie. The factors such as actor, actress, director,
writer, music director and marketing budget historical data of
each component are calculated and movie success is predicted.
This application helps to find out the review of the new movie.
Due to this system, user can easily decide whether to book ticket
in advance or not.
Online movie prediction application is an online web application
which predicts whether a movie will be hit or flop by using the
data mining. In this project we are using a mathematical
algorithm that will check whether a particular movie will collect
how much public reaction based on our own predefined
parameters such as name of actors, actress, director, music that
influences the success or failure of a movie is given is due to
weight age and then based on multiple thresholds calculated on
the basis of descriptive statistics of dataset of each component it
is given class flop, hit, super hit label. The system i have
developed has its own database of movie details. Admin will add
movies data of a particular film crew. Admin will add new
movie data along with film crew details as well as release date
of the new movie. The factors such as actor, actress, director,
writer, music director and marketing budget historical data of
each component are calculated and movie success is predicted.
This application helps to find out the review of the new movie.
Due to this system, user can easily decide whether to book ticket
in advance or not.