%0 Journal Article %1 noauthororeditor %A Thigale, Sameer %A Prasad, Tushar %A Makhija, Ustat Kaur %A Ravichandran, Vibha %D 2014 %E Kumar, Dr. Shiv %J International Journal of Inventive Engineering and Sciences (IJIES) %K %N 1 %P 1-6 %T Prediction of Box Office Success of Movies using Hype Analysis of Twitter Data %U https://www.ijies.org/wp-content/uploads/papers/v3i1/A0548123114.pdf %V 3 %X Internet and Social Networking play a vital role in research field. It contains a massive diction about what people think. Twitter, is a micro blogging site where people post their views and preferences related to their interests. In this project, we try to predict the box office success of the movie by analyzing the hype created amongst the mob. We use sentiment analysis of Twitter data for the same. We are also considering the distribution area of the movie along with its genre. To display the output we plot the graph which depicts the success ratio of the movie.

@article{noauthororeditor, abstract = {Internet and Social Networking play a vital role in research field. It contains a massive diction about what people think. Twitter, is a micro blogging site where people post their views and preferences related to their interests. In this project, we try to predict the box office success of the movie by analyzing the hype created amongst the mob. We use sentiment analysis of Twitter data for the same. We are also considering the distribution area of the movie along with its genre. To display the output we plot the graph which depicts the success ratio of the movie.}, added-at = {2021-08-28T12:45:39.000+0200}, author = {Thigale, Sameer and Prasad, Tushar and Makhija, Ustat Kaur and Ravichandran, Vibha}, biburl = {https://www.bibsonomy.org/bibtex/242f06179a4b266cfd473a1aa89a8dafa/ijies_beiesp}, editor = {Kumar, Dr. Shiv}, interhash = {176595d5a6bc062b1971e7b915b6f484}, intrahash = {42f06179a4b266cfd473a1aa89a8dafa}, issn = {2319–9598}, journal = {International Journal of Inventive Engineering and Sciences (IJIES)}, keywords = {}, language = {En}, month = {December}, number = 1, pages = {1-6}, timestamp = {2021-08-28T12:45:39.000+0200}, title = {Prediction of Box Office Success of Movies using Hype Analysis of Twitter Data}, url = {https://www.ijies.org/wp-content/uploads/papers/v3i1/A0548123114.pdf}, volume = 3, year = 2014 }