http://hdl.handle.net/1893/26258
Appears in Collections: | Computing Science and Mathematics Conference Papers and Proceedings |
Peer Review Status: | Refereed |
Author(s): | Dashtipour, Kia Hussain, Amir Zhou, Qiang Gelbukh, Alexander Hawalah, Ahmad Y A Cambria, Erik |
Contact Email: | ahu@cs.stir.ac.uk |
Title: | PerSent: A freely available Persian sentiment lexicon |
Editor(s): | Liu, CL Hussain, A Luo, B Tan, KC Zeng, Y Zhang, Z |
Citation: | Dashtipour K, Hussain A, Zhou Q, Gelbukh A, Hawalah AYA & Cambria E (2016) PerSent: A freely available Persian sentiment lexicon. In: Liu C, Hussain A, Luo B, Tan K, Zeng Y & Zhang Z (eds.) Advances in Brain Inspired Cognitive Systems. BICS 2016. Lecture Notes in Computer Science, 10023. BICS 2016: 8th International Conference on Brain-Inspired Cognitive Systems, Beijing, China, 28.11.2016-30.11.2016. Cham, Switzerland: Springer, pp. 310-320. https://doi.org/10.1007/978-3-319-49685-6_28 |
Issue Date: | 2016 |
Date Deposited: | 30-Nov-2017 |
Series/Report no.: | Lecture Notes in Computer Science, 10023 |
Conference Name: | BICS 2016: 8th International Conference on Brain-Inspired Cognitive Systems |
Conference Dates: | 2016-11-28 - 2016-11-30 |
Conference Location: | Beijing, China |
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. |
Status: | VoR - Version of Record |
Rights: | The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. |
Licence URL(s): | http://www.rioxx.net/licenses/under-embargo-all-rights-reserved |
File | Description | Size | Format | |
---|---|---|---|---|
Dashtipour_etal_LNCS_2016.pdf | Fulltext - Published Version | 865.88 kB | Adobe PDF | Under Embargo until 3000-10-14 Request a copy |
Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.
This item is protected by original copyright |
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.