Movie RateApp: Online Reviews Mining & Predicting Sales Performance |
Author(s): |
| Ruman Bagwan , Sinhgad Institute; Chetan Gorane, Sinhgad Institute; Aditya Bankar, Sinhgad Institute; Vikram Bankar, Sinhgad Institute |
Keywords: |
| Review mining, Quality analysis, prediction |
Abstract |
|
Nowadays posting online review has become a way of expressing our feeling. With the help of reviews the products sales can be affected hugely. The products Economic Value can get fluctuated. In this paper, we are going to focus on Movie Domain and predict the sales of particular movie. For this purpose we are proposing Autoregressive Sentiment-Aware model for sales prediction (ARSA). An Autoregressive Sentiment and Quality Aware model (ARSQA) assist us to further improve the accuracy of prediction by considering the quality factor. Rigorous Experiment conducted on a large movie data set confirms the effectiveness of the proposed approach. |
Other Details |
|
Paper ID: IJSRDV3I1130 Published in: Volume : 3, Issue : 1 Publication Date: 01/04/2015 Page(s): 189-190 |
Article Preview |
|
|
|
|
