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2016 | OriginalPaper | Buchkapitel

PerSent: A Freely Available Persian Sentiment Lexicon

verfasst von : Kia Dashtipour, Amir Hussain, Qiang Zhou, Alexander Gelbukh, Ahmad Y. A. Hawalah, Erik Cambria

Erschienen in: Advances in Brain Inspired Cognitive Systems

Verlag: Springer International Publishing

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Abstract

People need to know other people’s opinions to make well-informed decisions to buy products or services. Companies and organizations need to understand people’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.

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Titel: PerSent: A Freely Available Persian Sentiment Lexicon
verfasst von: Kia Dashtipour
Amir Hussain
Qiang Zhou
Alexander Gelbukh
Ahmad Y. A. Hawalah
Erik Cambria
Verlag: Springer International Publishing
Buch: Advances in Brain Inspired Cognitive Systems
Print ISBN: 978-3-319-49684-9

Electronic ISBN: 978-3-319-49685-6

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-49685-6_28

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