A. Agarwal, B. Xie, I. Vovsha, O. Rambow, and R. Passonneau, Sentiment analysis of twitter data, Proceedings of the workshop on languages in social media, pp.30-38, 2011.

R. Agrawal, T. Imieli´nskiimieli´nski, and A. Swami, Mining association rules between sets of items in large databases, Acm sigmod record, pp.207-216, 1993.

A. Bizhanova and O. Uchida, Product reputation trend extraction from twitter. Social Networking, 2014.
DOI : 10.4236/sn.2014.34024

URL : http://doi.org/10.4236/sn.2014.34024

J. Bollen, H. Mao, and A. Pepe, Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena, ICWSM Conference, vol.11, pp.450-453, 2011.

X. Ding, B. Liu, and L. Zhang, Entity discovery and assignment for opinion mining applications, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '09, pp.1125-1134, 2009.
DOI : 10.1145/1557019.1557141

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.155.307

M. Gabielkov, A. Rao, and A. Legout, Sampling online social networks: an experimental study of twitter, ACM SIGCOMM Conference, pp.127-128, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01096980

S. Ghosh, M. B. Zafar, P. Bhattacharya, N. Sharma, N. Ganguly et al., On sampling the wisdom of crowds, Proceedings of the 22nd ACM international conference on Conference on information & knowledge management, CIKM '13, pp.1739-1744, 2013.
DOI : 10.1145/2505515.2505615

M. Gjoka, M. Kurant, C. T. Butts, and A. Markopoulou, Walking in Facebook: A Case Study of Unbiased Sampling of OSNs, 2010 Proceedings IEEE INFOCOM, pp.1-9, 2010.
DOI : 10.1109/INFCOM.2010.5462078

G. Gouriten, S. Maniu, and P. Senellart, Scalable, generic, and adaptive systems for focused crawling, Proceedings of the 25th ACM conference on Hypertext and social media, HT '14, pp.35-45, 2014.
DOI : 10.1145/2631775.2631795

URL : https://hal.archives-ouvertes.fr/hal-01069821

V. Hangya, G. Berend, and R. Farkas, Szte-nlp: Sentiment detection on twitter messages, SEM Conference, pp.549-553, 2013.

A. Hogenboom, D. Bal, F. Frasincar, M. Bal, F. De-jong et al., Exploiting emoticons in sentiment analysis, Proceedings of the 28th Annual ACM Symposium on Applied Computing, SAC '13, pp.703-710, 2013.
DOI : 10.1145/2480362.2480498

URL : http://eprints.eemcs.utwente.nl/23268/01/sac13-senticon.pdf

X. Meng, F. Wei, X. Liu, M. Zhou, S. Li et al., Entity-centric topicoriented opinion summarization in twitter, KDD Conf, pp.379-387, 2012.
DOI : 10.1145/2339530.2339592

H. Saif, Y. He, and H. Alani, Semantic Sentiment Analysis of Twitter, International Semantic Web Conference, pp.508-524, 2012.
DOI : 10.1007/978-3-642-35176-1_32

M. Thelwall, K. Buckley, and G. Paltoglou, Sentiment in Twitter events, Journal of the American Society for Information Science and Technology, vol.22, issue.2, pp.406-418, 2011.
DOI : 10.1111/j.1467-8640.2006.00275.x

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.278.8012

S. Van-canneyt, N. Claeys, and B. Dhoedt, Topic-Dependent Sentiment Classification on Twitter, ECIR Conference, pp.441-446, 2015.
DOI : 10.1007/978-3-319-16354-3_48

X. Wang, F. Wei, X. Liu, M. Zhou, and M. Zhang, Topic sentiment analysis in twitter, Proceedings of the 20th ACM international conference on Information and knowledge management, CIKM '11, pp.1031-1040, 2011.
DOI : 10.1145/2063576.2063726

B. Xiang, L. Zhou, and T. Reuters, Improving Twitter Sentiment Analysis with Topic-Based Mixture Modeling and Semi-Supervised Training, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp.434-439, 2014.
DOI : 10.3115/v1/P14-2071

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.654.3468

Z. Zhou, X. Zhang, and M. Sanderson, Sentiment Analysis on Twitter through Topic-Based Lexicon Expansion, ADC Conference, pp.98-109, 2014.
DOI : 10.1007/978-3-319-08608-8_9