about our twitter based rankings
the ratings available on twitflicks are generated by parsing the
messages that are posted by the twitter community. but we're not just looking at them. we have
developed our own lexicographical analysis to determine wheter the tweet about a particular
movie is positive or negative.
and we're taking it even further, we're determining the strength of the emotion towards the movie
contained in the tweet.
the emotional analysis is not an easy job, but it get's worse: we can't just parse the tweets we get from twitter until it matches the name of one of
our movies in the database. folks on twitter typically use hashtags and abrevviations to communicate. and we have
to do the same. twitflicks automatically generates the abbreviations and hashtags for movies as they're commonly used.
yes, it does happen that we mistakenly identify a positive for a negative. but consider that our rankings are typically based on thousands of
individual reviews and not only on a dozen people's opinions like most other movie review sites.
it took us about ten million tweets and a little more than a year until we had perfectly adjusted and tuned our algorithms.
we're not trying to compete with iMDB or wikipedia in terms of information about a movie, but we're confident to say that you'll get the best and most unbiased
user based reviews on the web.