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README.md
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Sentiment Analysis resources
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Unsupervised Improving of Sentiment Analysis Using Global Target Context
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========================================================================
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Authors: Ivan Habernal, Tomáš Brychcín {habernal | brychcin} at kiv.zcu.cz
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The article is available at [nlp.kiv.zcu.cz](http://nlp.kiv.zcu.cz/) under "Publications" section.
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### Corpora
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**CSFD CZ** — 90k reviews with their related target (movie): [csfd-90k-reviews-ranlp2013.tar.bz2 (11 MB)](csfd-90k-reviews-ranlp2013.tar.bz2)
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### Licence
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The corpus is licenced under [Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License](http://creativecommons.org/licenses/by-nc-sa/3.0/)
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### Citation
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Please, cite our article if you use any of the available resources.
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@InProceedings{Habernal.Brychcin.2013b,
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author = {Ivan Habernal and Tom\\'a\\v{s} Brychc\\'{i}n},
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title = {Unsupervised Improving of Sentiment Analysis Using Global Target Context},
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booktitle = {Proceedings of RANLP 2013},
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year = {2013},
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publisher = {Association for Computational Linguistics},
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pages = {TBD},
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url = {TBD}
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}
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* * *
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### Software
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Licensing rights for the project are not yet resolved, therefore the software is available only on request by mail.
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Licence
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-------
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Corpus is licenced under [Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License](http://creativecommons.org/licenses/by-nc-sa/3.0/)
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Citation
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--------
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Please, cite our article if you use any of the available resources.
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@InProceedings{Habernal.et.al.2013,
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author = {Ivan Habernal and Tom\\'a\\v{s} Pt\\'a\\v{c}ek and Josef Steinberger},
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title = {Sentiment Analysis in Czech Social Media Using Supervised Machine Learning},
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booktitle = {Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis},
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month = {June},
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year = {2013},
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address = {Atlanta, Georgia},
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publisher = {Association for Computational Linguistics},
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pages = {65--74},
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url = {http://www.aclweb.org/anthology/W13-1609}
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}
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* * *
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_Last change: 2013-07-17_
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test.tsv → UWB-AIR--csfd/csv-test.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:094a157b2269d21b78a0e752a084a34590283a1517759f7fd917ff91a8891827
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size 2357663
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train.tsv → UWB-AIR--csfd/csv-train.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 21070399
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