![]() SVM-Light Support Vector Machine joachims. Joachims, T.: Svmlight: Support vector machine. Go, A., Bhayani, R., Huang, L.: Twitter sentiment classification using distant supervision. ![]() Gao, Z.J., Song, Y., Liu, S., Wang, H., Wei, H., Chen, Y., Cui, W.: Tracking and connecting topics via incremental hierarchical dirichlet processes. Association for Computational Linguistics (2012) ACM (2010)ĭiao, Q., Jiang, J., Zhu, F., Lim, E.P.: Finding bursty topics from microblogs. In: ICWSM (2011)Ĭataldi, M., Di Caro, L., Schifanella, C.: Emerging topic detection on twitter based on temporal and social terms evaluation. Association for Computational Linguistics (2010)īecker, H., Naaman, M., Gravano, L.: Beyond trending topics: Real-world event identification on twitter. Association for Computational Linguistics (2011)īarbosa, L., Feng, J.: Robust sentiment detection on twitter from biased and noisy data. KeywordsĪgarwal, A., Xie, B., Vovsha, I., Rambow, O., Passonneau, R.: Sentiment analysis of twitter data. tweet volume and user volume, it demonstrates impressive effectiveness with 82.3% recall and surpasses all the competitors. After a combination of multiple features, e.g. Experiment shows our model successfully detects trending sentimental topic in the shortest time. This work is based on a non-parametric supervised real-time trending topic detection model with sentimental feature. Nevertheless, most works about trending topic detection fail to take sentiment into consideration. Users intend to tell what they are really thinking about on Twitter thus makes Twitter a valuable source of opinions. Furthermore, Twitter provides a platform of opinion sharing and sentiment expression for events, news, products etc. However, with huge amount of data, it is impossible to tell what topic is trending on time manually, which makes real-time topic detection attractive and significant. People wonder and care about what is happening on Twitter and what news it is bringing to us every moment. Twitter plays a significant role in information diffusion and has evolved to an important information resource as well as news feed.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |