Abstract: The present invention discloses a system and method for fine-grained sentiment analysis using a hybrid model which is extensible to multiple languages, wherein the system (100) comprises a polarity detection module (101) for continuously detecting the positive sentiments, negative sentiments, and neutral sentiments of one or more sentences in a document. Further, a sentiment classification module (102) predicts the intensity and classifies positive sentiments and negative sentiments into one or more pre-defined sentiment classes, wherein the sentiment classification module (102) provides a reference sentiment interval for the classified sentences in the document. Furthermore, a length-based sentiment scoring module (103) continuously assigns a score to the classified sentences in the document ranging between ?s to +s, wherein ?s indicates extremely negative sentiment of the sentence and +s indicates extremely positive sentiment of the sentence.

Abstract: We present a time keeping system for turn-based games which accepts time controls used in fast games but allows the game to be played in a correspondence manner similar to slow games. This gives players the enjoyment of playing fast games with time pressure but at a pace that is convenient for their busy schedule.