A. Ben-david, A lot of randomness is hiding in accuracy, Engineering Applications of Artificial Intelligence, vol.20, issue.7, pp.875-885, 2007.
DOI : 10.1016/j.engappai.2007.01.001

D. Boyd, S. Golder, and G. Lotan, Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter, 2010 43rd Hawaii International Conference on System Sciences, pp.1-10, 2010.
DOI : 10.1109/HICSS.2010.412

T. Chanier, C. Poudat, B. Sagot, G. Antoniadis, C. Wigham et al., The CoMeRe corpus for French: Structuring and Annotating Heterogeneous CMC Genres, JLCL, issue.2, pp.291-321, 2014.
URL : https://hal.archives-ouvertes.fr/halshs-00953507

J. Cohen, A Coefficient of Agreement for Nominal Scales, Educational and Psychological Measurement, vol.20, issue.1, pp.37-46, 1960.
DOI : 10.1037/h0044251

A. Courtin and N. Foucault, Quantitative and Categorial Analysis of Tweets Sent During the #Muse- umWeek2015 Event, 2015.

A. Courtin, B. Juanals, J. Minel, and M. De-saint-léger, A Tool-Based Methodology to Analyze Social Network Interactions in Cultural Fields: The Use Case ???MuseumWeek???, Proceedings of the 6 th International Conference on Social Informatics (SocInfo'14), pp.144-156, 2014.
DOI : 10.1007/978-3-319-15168-7_19

S. Dann, Twitter content classification, First Monday, vol.15, issue.12, 2010.
DOI : 10.5210/fm.v15i12.2745

S. Djemili, J. Longhi, C. Marinica, D. Kotzinos, and G. Sarfati, What does Twitter have to say about ideology?, NLP 4 CMC: Natural Language Processing for Computer-Mediated Communication / Social Media, pp.16-25, 2014.
URL : https://hal.archives-ouvertes.fr/halshs-01058867

A. Fraisse and P. Paroubek, Comparable Microblogs for Multilingual Affective lexicons, Natural Language Engineering, vol.1, issue.1, pp.1-20, 2015.

J. Gelernter and N. Mushegian, Geo-parsing Messages from Microtext, Transactions in GIS, vol.1, issue.3, pp.753-773, 2011.
DOI : 10.1002/widm.25

A. Jackiewicz and M. Vidak, Étude sur les motsdièse, SHS Web of Conferences, pp.2033-2050, 2014.

L. Johnson, S. Adams, and M. Cummins, NMC Horizon Report: 2012 Higher Education Edition, 2012.
DOI : 10.1111/j.2151-6952.2010.00064.x

S. Karimi, J. Yin, T. , and P. , Searching and Filtering Tweets: CSIRO at the TREC 2012 Microblog Track, Proceedings of The 21 st Text REtrieval Conference, 2012.

R. Kohavi, A Study of Cross-validation and Bootstrap for Accuracy Estimation and Model Selection, Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'95), pp.1137-1143, 1995.

A. Kothari, W. Magdy, K. Darwish, A. Mourad, and A. Taei, Detecting Comments on News Articles in Microblogs, Proceedings of the 7th International Conference on Web and Social Media (ICWSM), 2013.

E. Kouloumpis, T. Wilson, M. , and J. , Twitter Sentiment Analysis: The Good the Bad and the OMG!, Proceedings of the 5 th International Conference on Web and Social Media (ICWSM), 2011.

J. R. Landis and G. G. Koch, The Measurement of Observer Agreement for Categorical Data, Biometrics, vol.33, issue.1, pp.159-174, 1977.
DOI : 10.2307/2529310

K. Lovejoy and G. D. Saxton, Information, Community, and Action: How Nonprofit Organizations Use Social Media*, Journal of Computer-Mediated Communication, vol.37, issue.3, pp.337-353, 2012.
DOI : 10.1111/j.1468-2958.2010.01387.x

N. Malandrakis, M. Falcone, C. Vaz, J. J. Bisogni, A. Potamianos et al., SAIL: Sentiment Analysis using Semantic Similarity and Contrast Features, Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pp.512-516, 2014.
DOI : 10.3115/v1/S14-2089

D. Maynard, K. Bontcheva, and D. Rout, Challenges in developing opinion mining tools for social media, Proceedings of @NLP can u tag #usergeneratedcontent? ! Workshop at International Conference on Language Resources and Evaluation European Language Resources Association, 2012.

A. Pak and P. Paroubek, Twitter as a corpus for sentiment analysis and opinion mining, Proceedings of the International Conference on Language Resources and Evaluation, LREC 2010, pp.17-23, 2010.

F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion et al., Scikit-learn: Machine Learning in Python, Journal of Machine Learning Research, vol.12, pp.2825-2830, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00650905

K. Riemer and A. Richter, Tweet Inside: Microblogging in a Corporate Context, Proceedings 23rd Bled eConference eTrust: Implications for the Individual, 2010.

R. Rifkin and A. Klautau, In Defense of One- Vs-All Classification, Journal of Machine Learning Research, vol.5, pp.101-141, 2004.

T. Sakaki, M. Okazaki, and Y. Matsuo, Tweet Analysis for Real-Time Event Detection and Earthquake Reporting System Development, IEEE Transactions on Knowledge and Data Engineering, vol.25, issue.4, pp.919-931, 2013.
DOI : 10.1109/TKDE.2012.29

D. Seddah, B. Sagot, M. Candito, V. Mouilleron, C. et al., The French Social Media Bank: a Treebank of Noisy User Generated Content, Proceedings of the 24 th International Conference on Computational Linguistics (COLING'12), pp.2441-2458, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00780898

A. Shiri and D. Rathi, Twitter Content Categorisation: A Public Library Perspective, Journal of Information & Knowledge Management, vol.15, issue.04, p.12, 2013.
DOI : 10.1007/978-3-642-20161-5_34

B. Sriram, D. Fuhry, E. Demir, H. Ferhatosmanoglu, and M. Demirbas, Short text classification in twitter to improve information filtering, Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval, SIGIR '10, pp.841-842, 2010.
DOI : 10.1145/1835449.1835643

B. Stvilia and L. Gibradze, What do academic libraries tweet about, and what makes a library tweet useful?, Library & Information Science Research, vol.36, issue.3-4, pp.3-4136, 2014.
DOI : 10.1016/j.lisr.2014.07.001

S. Yamasaki, A Trust Rating Method for Information Providers over the Social Web Service: A Pragmatic Protocol for Trust among Information Explorers and Information Providers, 2011 IEEE/IPSJ International Symposium on Applications and the Internet, pp.578-582, 2011.
DOI : 10.1109/SAINT.2011.110

A. Zubiaga, I. S. Vicente, P. Gamallo, J. R. Campos, I. A. Loinaz et al., Overview of tweetlid: Tweet language identification at SEPLN 2014, Proceedings of the Tweet Language Identification Workshop co-located with 30th Conference of the Spanish Society for Natural Language Processing, pp.1-11, 2014.

A. Zubiaga, D. Spina, R. Martínez, and V. Fresno, Real-time classification of Twitter trends, Journal of the Association for Information Science and Technology, vol.38, issue.4, pp.462-473, 2015.
DOI : 10.1108/00251740010371748