/TASS-2017

An open-source, top-ranked sentiment analysis system of Spanish tweets.

Primary LanguagePythonMIT LicenseMIT

Source code for paper: J. A. Cerón-Guzmán (2017), Classifier Ensembles That Push the State-of-the-Art in Sentiment Analysis of Spanish Tweets. TASS 2017.

This is an open-source, top-ranked sentiment analysis system of Spanish tweets, which is publicly available to enable reproducibility and foster research on the area.

If you use this software in research, please cite:

@inproceedings{Ceron17,
    author = {Cer\'{o}n-Guzm\'{a}n, Jhon Adri\'{a}n},
    title = {Classifier Ensembles That Push the State-of-the-Art in Sentiment Analysis of Spanish Tweets},
    booktitle = {Proceedings of TASS 2017: Workshop on Semantic Analysis at SEPLN (TASS 2017)},
    volume = {1896},
    series = {CEUR Workshop Proceedings},
    address = {Murcia, Spain},
    publisher = {CEUR-WS},
    year = {2017},
    month = {September}
}

Compatibility

This software has been developed in Python 2.7 and on Debian 8 "jessie". Therefore, it should successfully run on a Linux system.

Installation and Usage

Please refer to the /docs directory.