@inproceedings{2dd8b1e1af9b4b578d8f48df9b040e8b,
title = "PerSent: A freely available persian sentiment lexicon",
abstract = "People need to know other people{\textquoteright}s opinions to make well-informed decisions to buy products or services. Companies and organizations need to understand people{\textquoteright}s attitude towards their products and services and use feedback from the customers to improve their products. Sentiment analysis techniques address these needs. While the majority of Internet users are not English speakers, most research papers in the sentiment-analysis field focus on English; resources for other languages are scarce. In this paper, we introduce a Persian sentiment lexicon, which consists of 1500 words along with their part-of-speech tags and polarity scores. We have used two machine-learning algorithms to evaluate the performance of this resource on a sentiment analysis task. The lexicon is freely available and can be downloaded from our website.",
author = "Kia Dashtipour and Amir Hussain and Qiang Zhou and Alexander Gelbukh and Hawalah, {Ahmad Y.A.} and Erik Cambria",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 8th International Conference on Brain Inspired Cognitive Systems, BICS 2016 ; Conference date: 28-11-2016 Through 30-11-2016",
year = "2016",
doi = "10.1007/978-3-319-49685-6_28",
language = "Ingl{\'e}s",
isbn = "9783319496849",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "310--320",
editor = "Cheng-Lin Liu and Yi Zeng and Zhaoxiang Zhang and Tan, {Kay Chen} and Bin Luo and Amir Hussain",
booktitle = "Advances in Brain Inspired Cognitive Systems - 8th International Conference, BICS 2016, Proceedings",
address = "Alemania",
}