| D09-1150 | received a lot of attention in | opinion analysis | task . There are many lexical |
| D09-1131 | structural trios benefits the | opinion analysis | on sentences . An fscore 0.80 |
| D09-1131 | of sentences are beneficial for | opinion analysis | . Because the scoring functions |
| D09-1131 | structural trios is useful for sentence | opinion analysis | . The best f-score achieves 0.77 |
| D09-1018 | have been shown to be useful for | opinion analysis | in previous work . Specifically |
| D09-1020 | demonstrates the potential benefit to | opinion analysis | of performing SWSD . We then |
| D09-1131 | . It leads the application of | opinion analysis | to the direction of personalization |
| D09-1020 | exploit SWSD in several contextual | opinion analysis | systems , including positive/negative/neutral |
| D09-1131 | relations and utilize them for | opinion analysis | on sentences . As the experimental |
| D09-1131 | between sentence segments for | opinion analysis | on words and sentences . Chinese |
| D09-1018 | to augment and improve existing | opinion analysis | techniques . The automation of |
| D09-1018 | discourse-based approaches to | opinion analysis | are useful . Our results show |
| D09-1131 | structures , however , do help in | opinion analysis | both for the opinion sentence |
| D09-1131 | our experiments is to know how | opinion analysis | approach performs when morphological |
| D09-1131 | that NTUSD is beneficial to the | opinion analysis | at word level , it is used as |
| D09-1131 | structural trios also benefit the | opinion analysis | on sentences . We annotate these |
| D09-1020 | including subjectivity features . 4 | Opinion Analysis | with Subjectivity Word Sense |
| D09-1131 | whether they are also useful for | opinion analysis | on sentences . Five experimental |
| D09-1018 | this work and previous work in | opinion analysis | that use global inference methods |
| D09-1140 | They show that they can improve | opinion analysis | results by modeling these relations |
