The rich user-generated contend found on internet bloggs have always attracted the interest of scientific communities for many different purposes, such as from opinion and sentiment mining, information extraction or topic discovery. Nonetheless, a extensive corpora is essential to perform most of Natural Language Processing involved in these tasks. This paper presents BlogSet-BR, a extensive Brazilian Portuguese corpus containing 2.1 billions words extracted from 7.4 millions posts over 808 thousand different Brazilian blogs. Additionally, a extensible survey was conducted with authors to draw a profile of Brazilian bloggers.
@InProceedings{SANTOS18.10, author = {Henrique Santos and Vinicius Woloszyn and Renata Vieira}, title = "{BlogSet-BR: A Brazilian Portuguese Blog Corpus}", booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {May 7-12, 2018}, address = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, isbn = {979-10-95546-00-9}, language = {english} }
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