FarsiYar Text-Mining Group try to collect best resources for opinion mining in the Persian language.
Please participate in its development.
- 2020-DeepSentiPers: Deep Learning Models Plus Data Augmentation Methods in Persian Sentiment Analysis (codes, talk)
- 2019-Sentiment Analysis Challenges in Persian Language
- 2018-The Impact of Sentiment Features on the Sentiment Polarity Classification in Persian Reviews
- "PersianSWN" : (2017) HesNegar: Persian Sentiment WordNet
- "PerSent" : (2016) PerSent: A Freely Available Persian Sentiment Lexicon
- "LexiPers V1.0" : (2015) LexiPers: An ontology based sentiment lexicon for Persian
- "Lexicon-based Sentiment Analysis Data" : (2015) Lexicon-based Sentiment Analysis for Persian Text
- "UTIIS Sentiment GoldData" : (2014) Semi-supervised word polarity identification in resource-lean languages
- "SentiPers V1.0" : (2018) SentiPers: a sentiment analysis corpus for Persian
- "SentiFars" : (2019) SentiFars: A Persian Polarity Lexicon for Sentiment Analysis
You can download csv version of this resource from : "PersianSWN.csv".
Each line (entry) has 5 fields :
- Synset id (based on Princeton WordNet standard format): IdNumber-PosTage.g. 00001740-a
- Persian word.
- Confidence value (based on FerdowsNet WordNet).
- Positivity value.
- Negativity value.
Sample data:
00001740-a	توانا	1.00	0.125	0.000
00051373-a	توانا	0.45	0.375	0.250
00001740-a	قادر	0.24	0.125	0.000
00002098-a	عاجز	1.00	0.000	0.750
00051696-a	عاجز	0.18	0.000	0.500
00002098-a	ناتوان	0.75	0.000	0.750
00051696-a	ناتوان	0.58	0.000	0.500
For more information, please visit our paper in the Signal and Data Processing Journal