See, clearly I don't know where I am going with this. The data sample seems to be pretty interesting considering the fact that now I have literally 888 samples of data i.e. 888 different movies to analyze, all between 2009-2014 per my calculation. These are the bollywood/hollywood-dubbed/tollywood-copied/kollywood-inspired/sandalwood, well created movies.
All these movies have anywhere between 1-15 weeks of playtime which is in my theory good, since I have a larger dataset to deal with and bad, since I have a lot of work to do. Both my project partners have o idea what's going on. I have taken one of them to code in lieu of me. That guy was delayed in placement. Now that he's placed, I can count on him. Second person is well, a good person and lazy at that. I like lazy people because duh.. I am one of them.
Anyway, I have a lot to consume and analyze. The sheer effort is worth giving me an Oscar.
My bad, not Oscar, IEEE publication, which is kinda like an academy award in my field, an academic award. In any case, the work doesn't matter, the result does. I have to make a parallel between economy and psychology and that one is tough bread to break.
Today, I have separated the list I derived into files based on the movie names. It was a cakewalk... I guess. I have a list of movie names which is good, as I need to search trends with those names. The next very important step is I guess, collecting information , i.e. trends based on the week. Rgoogletrends should do the charm but I don't know what will happen if I do the same in twitter. In twitter I have two policies, one is searchTwitter option which I think is great at giving me sentimental analysis part and then I have the actual trends part to check the authenticity of my search which is not saying much.
Once I have google trends, my project will split into two branches, the people search part, which is important as it tells me the hype created during that point and twitter part where I can know the reaction of the people to the given movie. It will certainly take a month or two and I am counting on it. Will it be a cakewalk?
Hare Ram and there goes the plan,
until next time
Horopter.
All these movies have anywhere between 1-15 weeks of playtime which is in my theory good, since I have a larger dataset to deal with and bad, since I have a lot of work to do. Both my project partners have o idea what's going on. I have taken one of them to code in lieu of me. That guy was delayed in placement. Now that he's placed, I can count on him. Second person is well, a good person and lazy at that. I like lazy people because duh.. I am one of them.
Anyway, I have a lot to consume and analyze. The sheer effort is worth giving me an Oscar.
My bad, not Oscar, IEEE publication, which is kinda like an academy award in my field, an academic award. In any case, the work doesn't matter, the result does. I have to make a parallel between economy and psychology and that one is tough bread to break.
Today, I have separated the list I derived into files based on the movie names. It was a cakewalk... I guess. I have a list of movie names which is good, as I need to search trends with those names. The next very important step is I guess, collecting information , i.e. trends based on the week. Rgoogletrends should do the charm but I don't know what will happen if I do the same in twitter. In twitter I have two policies, one is searchTwitter option which I think is great at giving me sentimental analysis part and then I have the actual trends part to check the authenticity of my search which is not saying much.
Once I have google trends, my project will split into two branches, the people search part, which is important as it tells me the hype created during that point and twitter part where I can know the reaction of the people to the given movie. It will certainly take a month or two and I am counting on it. Will it be a cakewalk?
Hare Ram and there goes the plan,
until next time
Horopter.
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